Isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency

ABSTRACT

Provided are isolated polynucleotides comprising a nucleic acid sequence encoding a polypeptide at least 80% identical to SEQ ID NO: 422, 362-421, 423-601, 2429-4085 and 4086, such as a polynucleotide which is at least 80% identical to SEQ ID NO: 260, 1-259, 261-361, 602-2427 and 2428, nucleic acid constructs comprising same, plant cells comprising same, transgenic plants expressing same, and methods of generating thereof for increasing the yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, nitrogen use efficiency and/or abiotic stress tolerance of a plant.

RELATED APPLICATIONS

This application is a division of U.S. patent application Ser. No. 14/381,596, filed on Aug. 28, 2014, which is a National Phase of PCT Patent Application No. PCT/IL2013/050172 having International filing date of Feb. 27, 2013, which claims the benefit of priority under 35 USC § 119(e) of U.S. Provisional Patent Application Nos. 61/604,588 filed on Feb. 29, 2012 and 61/681,252 filed on Aug. 9, 2012.

The contents of the above applications are all incorporated by reference as if fully set forth herein in their entirety.

SEQUENCE LISTING STATEMENT

The ASCII file, entitled 72114SequenceListing.txt, created on Feb. 1, 2018, comprising 11,837,140 bytes, submitted concurrently with the filing of this application is incorporated herein by reference.

FIELD AND BACKGROUND OF THE INVENTION

The present invention, in some embodiments thereof, relates to isolated polypeptides and polynucleotides, nucleic acid constructs comprising same, transgenic cells comprising same, transgenic plants exogenously expressing same and more particularly, but not exclusively, to methods of using same for increasing yield (e.g., seed yield, oil yield), biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of a plant.

Yield is affected by various factors, such as, the number and size of the plant organs, plant architecture (for example, the number of branches), grains set length, number of filled grains, vigor (e.g. seedling), growth rate, root development, utilization of water, nutrients (e.g., nitrogen) and fertilizers, and stress tolerance.

Crops such as, corn, rice, wheat, canola and soybean account for over half of total human caloric intake, whether through direct consumption of the seeds themselves or through consumption of meat products raised on processed seeds or forage. Seeds are also a source of sugars, proteins and oils and metabolites used in industrial processes.

The ability to increase plant yield, whether through increase dry matter accumulation rate, modifying cellulose or lignin composition, increase stalk strength, enlarge meristem size, change of plant branching pattern, erectness of leaves, increase in fertilization efficiency, enhanced seed dry matter accumulation rate, modification of seed development, enhanced seed filling or by increasing the content of oil, starch or protein in the seeds would have many applications in agricultural and non-agricultural uses such as in the biotechnological production of pharmaceuticals, antibodies or vaccines.

Vegetable or seed oils are the major source of energy and nutrition in human and animal diet. They are also used for the production of industrial products, such as paints, inks and lubricants. In addition, plant oils represent renewable sources of long-chain hydrocarbons which can be used as fuel. Since the currently used fossil fuels are finite resources and are gradually being depleted, fast growing biomass crops may be used as alternative fuels or for energy feedstocks and may reduce the dependence on fossil energy supplies. However, the major bottleneck for increasing consumption of plant oils as bio-fuel is the oil price, which is still higher than fossil fuel. In addition, the production rate of plant oil is limited by the availability of agricultural land and water. Thus, increasing plant oil yields from the same growing area can effectively overcome the shortage in production space and can decrease vegetable oil prices at the same time.

Studies aiming at increasing plant oil yields focus on the identification of genes involved in oil metabolism as well as in genes capable of increasing plant and seed yields in transgenic plants. Genes known to be involved in increasing plant oil yields include those participating in fatty acid synthesis or sequestering such as desaturase [e.g., DELTA6, DELTA12 or acyl-ACP (Ssi2; Arabidopsis Information Resource (TAIR; Hypertext Transfer Protocol://World Wide Web (dot) arabidopsis (dot) org/), TAIR No. AT2G43710)], OleosinA (TAIR No. AT3G01570) or FAD3 (TAIR No. AT2G29980), and various transcription factors and activators such as Led 1 [TAIR No. AT1G21970, Lotan et al. 1998. Cell. 26; 93(7):1195-205], Lec2 [TAIR No. AT1G28300, Santos Mendoza et al. 2005, FEBS Lett. 579(21):4666-70], Fus3 (TAIR No. AT3G26790), ABI3 [TAIR No. AT3G24650, Lara et al. 2003. J Biol Chem. 278(23): 21003-11] and Wri1 [TAIR No. AT3G54320, Cernac and Benning, 2004. Plant J. 40(4): 575-85].

Genetic engineering efforts aiming at increasing oil content in plants (e.g., in seeds) include upregulating endoplasmic reticulum (FAD3) and plastidal (FAD7) fatty acid desaturases in potato (Zabrouskov V., et al., 2002; Physiol Plant. 116:172-185); over-expressing the GmDof4 and GmDof11 transcription factors (Wang H W et al., 2007; Plant J. 52:716-29); over-expressing a yeast glycerol-3-phosphate dehydrogenase under the control of a seed-specific promoter (Vigeolas H, et al. 2007, Plant Biotechnol J. 5:431-41; U.S. Pat. Appl. No. 20060168684); using Arabidopsis FAE1 and yeast SLC1-1 genes for improvements in erucic acid and oil content in rapeseed (Katavic V, et al., 2000, Biochem Soc Trans. 28:935-7).

Various patent applications disclose genes and proteins which can increase oil content in plants. These include for example, U.S. Pat. Appl. No. 20080076179 (lipid metabolism protein); U.S. Pat. Appl. No. 20060206961 (the Ypr140w polypeptide); U.S. Pat. Appl. No. 20060174373 [triacylglycerols synthesis enhancing protein (TEP)]; U.S. Pat. Appl. Nos. 20070169219, 20070006345, 20070006346 and 20060195943 (disclose transgenic plants with improved nitrogen use efficiency which can be used for the conversion into fuel or chemical feedstocks); WO2008/122980 (polynucleotides for increasing oil content, growth rate, biomass, yield and/or vigor of a plant).

A common approach to promote plant growth has been, and continues to be, the use of natural as well as synthetic nutrients (fertilizers). Thus, fertilizers are the fuel behind the “green revolution”, directly responsible for the exceptional increase in crop yields during the last 40 years, and are considered the number one overhead expense in agriculture. For example, inorganic nitrogenous fertilizers such as ammonium nitrate, potassium nitrate, or urea, typically accounts for 40% of the costs associated with crops such as corn and wheat. Of the three macronutrients provided as main fertilizers [Nitrogen (N), Phosphate (P) and Potassium (K)], nitrogen is often the rate-limiting element in plant growth and all field crops have a fundamental dependence on inorganic nitrogenous fertilizer. Nitrogen is responsible for biosynthesis of amino and nucleic acids, prosthetic groups, plant hormones, plant chemical defenses, etc. and usually needs to be replenished every year, particularly for cereals, which comprise more than half of the cultivated areas worldwide. Thus, nitrogen is translocated to the shoot, where it is stored in the leaves and stalk during the rapid step of plant development and up until flowering. In corn for example, plants accumulate the bulk of their organic nitrogen during the period of grain germination, and until flowering. Once fertilization of the plant has occurred, grains begin to form and become the main sink of plant nitrogen. The stored nitrogen can be then redistributed from the leaves and stalk that served as storage compartments until grain formation.

Since fertilizer is rapidly depleted from most soil types, it must be supplied to growing crops two or three times during the growing season. In addition, the low nitrogen use efficiency (NUE) of the main crops (e.g., in the range of only 30-70%) negatively affects the input expenses for the farmer, due to the excess fertilizer applied. Moreover, the over and inefficient use of fertilizers are major factors responsible for environmental problems such as eutrophication of groundwater, lakes, rivers and seas, nitrate pollution in drinking water which can cause methemoglobinemia, phosphate pollution, atmospheric pollution and the like. However, in spite of the negative impact of fertilizers on the environment, and the limits on fertilizer use, which have been legislated in several countries, the use of fertilizers is expected to increase in order to support food and fiber production for rapid population growth on limited land resources. For example, it has been estimated that by 2050, more than 150 million tons of nitrogenous fertilizer will be used worldwide annually.

Increased use efficiency of nitrogen by plants should enable crops to be cultivated with lower fertilizer input, or alternatively to be cultivated on soils of poorer quality and would therefore have significant economic impact in both developed and developing agricultural systems.

Genetic improvement of fertilizer use efficiency (FUE) in plants can be generated either via traditional breeding or via genetic engineering.

Attempts to generate plants with increased FUE have been described in U.S. Pat. Appl. No. 20020046419 to Choo, et al.; U.S. Pat. Appl. No. 20050108791 to Edgerton et al.; U.S. Pat. Appl. No. 20060179511 to Chomet et al.; Good, A, et al. 2007 (Engineering nitrogen use efficiency with alanine aminotransferase. Canadian Journal of Botany 85: 252-262); and Good A G et al. 2004 (Trends Plant Sci. 9:597-605).

Yanagisawa et al. (Proc. Natl. Acad. Sci. U.S.A. 2004 101:7833-8) describe Dof1 transgenic plants which exhibit improved growth under low-nitrogen conditions.

U.S. Pat. No. 6,084,153 to Good et al. discloses the use of a stress responsive promoter to control the expression of Alanine Amine Transferase (AlaAT) and transgenic canola plants with improved drought and nitrogen deficiency tolerance when compared to control plants.

Abiotic stress (ABS; also referred to as “environmental stress”) conditions such as salinity, drought, flood, suboptimal temperature and toxic chemical pollution, cause substantial damage to agricultural plants. Most plants have evolved strategies to protect themselves against these conditions. However, if the severity and duration of the stress conditions are too great, the effects on plant development, growth and yield of most crop plants are profound. Furthermore, most of the crop plants are highly susceptible to abiotic stress and thus necessitate optimal growth conditions for commercial crop yields. Continuous exposure to stress causes major alterations in the plant metabolism which ultimately leads to cell death and consequently yield losses.

Drought is a gradual phenomenon, which involves periods of abnormally dry weather that persists long enough to produce serious hydrologic imbalances such as crop damage, water supply shortage and increased susceptibility to various diseases. In severe cases, drought can last many years and results in devastating effects on agriculture and water supplies. Furthermore, drought is associated with increase susceptibility to various diseases.

For most crop plants, the land regions of the world are too arid. In addition, overuse of available water results in increased loss of agriculturally-usable land (desertification), and increase of salt accumulation in soils adds to the loss of available water in soils.

Salinity, high salt levels, affects one in five hectares of irrigated land. None of the top five food crops, i.e., wheat, corn, rice, potatoes, and soybean, can tolerate excessive salt. Detrimental effects of salt on plants result from both water deficit, which leads to osmotic stress (similar to drought stress), and the effect of excess sodium ions on critical biochemical processes. As with freezing and drought, high salt causes water deficit; and the presence of high salt makes it difficult for plant roots to extract water from their environment. Soil salinity is thus one of the more important variables that determine whether a plant may thrive. In many parts of the world, sizable land areas are uncultivable due to naturally high soil salinity. Thus, salination of soils that are used for agricultural production is a significant and increasing problem in regions that rely heavily on agriculture, and is worsen by over-utilization, over-fertilization and water shortage, typically caused by climatic change and the demands of increasing population. Salt tolerance is of particular importance early in a plant's lifecycle, since evaporation from the soil surface causes upward water movement, and salt accumulates in the upper soil layer where the seeds are placed. On the other hand, germination normally takes place at a salt concentration which is higher than the mean salt level in the whole soil profile.

Salt and drought stress signal transduction consist of ionic and osmotic homeostasis signaling pathways. The ionic aspect of salt stress is signaled via the SOS pathway where a calcium-responsive SOS3-SOS2 protein kinase complex controls the expression and activity of ion transporters such as SOS1. The osmotic component of salt stress involves complex plant reactions that overlap with drought and/or cold stress responses.

Suboptimal temperatures affect plant growth and development through the whole plant life cycle. Thus, low temperatures reduce germination rate and high temperatures result in leaf necrosis. In addition, mature plants that are exposed to excess of heat may experience heat shock, which may arise in various organs, including leaves and particularly fruit, when transpiration is insufficient to overcome heat stress. Heat also damages cellular structures, including organelles and cytoskeleton, and impairs membrane function. Heat shock may produce a decrease in overall protein synthesis, accompanied by expression of heat shock proteins, e.g., chaperones, which are involved in refolding proteins denatured by heat. High-temperature damage to pollen almost always occurs in conjunction with drought stress, and rarely occurs under well-watered conditions. Combined stress can alter plant metabolism in novel ways. Excessive chilling conditions, e.g., low, but above freezing, temperatures affect crops of tropical origins, such as soybean, rice, maize, and cotton. Typical chilling damage includes wilting, necrosis, chlorosis or leakage of ions from cell membranes. The underlying mechanisms of chilling sensitivity are not completely understood yet, but probably involve the level of membrane saturation and other physiological deficiencies. Excessive light conditions, which occur under clear atmospheric conditions subsequent to cold late summer/autumn nights, can lead to photoinhibition of photosynthesis (disruption of photosynthesis). In addition, chilling may lead to yield losses and lower product quality through the delayed ripening of maize.

Common aspects of drought, cold and salt stress response [Reviewed in Xiong and Zhu (2002) Plant Cell Environ. 25: 131-139] include: (a) transient changes in the cytoplasmic calcium levels early in the signaling event; (b) signal transduction via mitogen-activated and/or calcium dependent protein kinases (CDPKs) and protein phosphatases; (c) increases in abscisic acid levels in response to stress triggering a subset of responses; (d) inositol phosphates as signal molecules (at least for a subset of the stress responsive transcriptional changes; (e) activation of phospholipases which in turn generates a diverse array of second messenger molecules, some of which might regulate the activity of stress responsive kinases; (f) induction of late embryogenesis abundant (LEA) type genes including the CRT/DRE responsive COR/RD genes; (g) increased levels of antioxidants and compatible osmolytes such as proline and soluble sugars; and (h) accumulation of reactive oxygen species such as superoxide, hydrogen peroxide, and hydroxyl radicals. Abscisic acid biosynthesis is regulated by osmotic stress at multiple steps. Both ABA-dependent and -independent osmotic stress signaling first modify constitutively expressed transcription factors, leading to the expression of early response transcriptional activators, which then activate downstream stress tolerance effector genes.

Several genes which increase tolerance to cold or salt stress can also improve drought stress protection, these include for example, the transcription factor AtCBF/DREB1, OsCDPK7 (Saijo et al. 2000, Plant J. 23: 319-327) or AVP1 (a vacuolar pyrophosphatase-proton pump, Gaxiola et al. 2001, Proc. Natl. Acad. Sci. USA 98: 11444-11449).

Studies have shown that plant adaptations to adverse environmental conditions are complex genetic traits with polygenic nature. Conventional means for crop and horticultural improvements utilize selective breeding techniques to identify plants having desirable characteristics. However, selective breeding is tedious, time consuming and has an unpredictable outcome. Furthermore, limited germplasm resources for yield improvement and incompatibility in crosses between distantly related plant species represent significant problems encountered in conventional breeding. Advances in genetic engineering have allowed mankind to modify the germplasm of plants by expression of genes-of-interest in plants. Such a technology has the capacity to generate crops or plants with improved economic, agronomic or horticultural traits.

Genetic engineering efforts, aimed at conferring abiotic stress tolerance to transgenic crops, have been described in various publications [Apse and Blumwald (Curr Opin Biotechnol. 13:146-150, 2002), Quesada et al. (Plant Physiol. 130:951-963, 2002), Holmstrôm et al. (Nature 379: 683-684, 1996), Xu et al. (Plant Physiol 110: 249-257, 1996), Pilon-Smits and Ebskamp (Plant Physiol 107: 125-130, 1995) and Tarczynski et al. (Science 259: 508-510, 1993)].

Various patents and patent applications disclose genes and proteins which can be used for increasing tolerance of plants to abiotic stresses. These include for example, U.S. Pat. Nos. 5,296,462 and 5,356,816 (for increasing tolerance to cold stress); U.S. Pat. No. 6,670,528 (for increasing ABST); U.S. Pat. No. 6,720,477 (for increasing ABST); U.S. application Ser. Nos. 09/938,842 and 10/342,224 (for increasing ABST); U.S. application Ser. No. 10/231,035 (for increasing ABST); WO2004/104162 (for increasing ABST and biomass); WO2007/020638 (for increasing ABST, biomass, vigor and/or yield); WO2007/049275 (for increasing ABST, biomass, vigor and/or yield); WO2010/076756 (for increasing ABST, biomass and/or yield). WO2009/083958 (for increasing water use efficiency, fertilizer use efficiency, biotic/abiotic stress tolerance, yield and/or biomass); WO2010/020941 (for increasing nitrogen use efficiency, abiotic stress tolerance, yield and/or biomass); WO2009/141824 (for increasing plant utility); WO2010/049897 (for increasing plant yield).

Nutrient deficiencies cause adaptations of the root architecture, particularly notably for example is the root proliferation within nutrient rich patches to increase nutrient uptake. Nutrient deficiencies cause also the activation of plant metabolic pathways which maximize the absorption, assimilation and distribution processes such as by activating architectural changes. Engineering the expression of the triggered genes may cause the plant to exhibit the architectural changes and enhanced metabolism also under other conditions.

In addition, it is widely known that the plants usually respond to water deficiency by creating a deeper root system that allows access to moisture located in deeper soil layers. Triggering this effect will allow the plants to access nutrients and water located in deeper soil horizons particularly those readily dissolved in water like nitrates.

Cotton and cotton by-products provide raw materials that are used to produce a wealth of consumer-based products in addition to textiles including cotton foodstuffs, livestock feed, fertilizer and paper. The production, marketing, consumption and trade of cotton-based products generate an excess of $100 billion annually in the U.S. alone, making cotton the number one value-added crop.

Even though 90% of cotton's value as a crop resides in the fiber (lint), yield and fiber quality has declined due to general erosion in genetic diversity of cotton varieties, and an increased vulnerability of the crop to environmental conditions.

There are many varieties of cotton plant, from which cotton fibers with a range of characteristics can be obtained and used for various applications. Cotton fibers may be characterized according to a variety of properties, some of which are considered highly desirable within the textile industry for the production of increasingly high quality products and optimal exploitation of modem spinning technologies. Commercially desirable properties include length, length uniformity, fineness, maturity ratio, decreased fuzz fiber production, micronaire, bundle strength, and single fiber strength. Much effort has been put into the improvement of the characteristics of cotton fibers mainly focusing on fiber length and fiber fineness. In particular, there is a great demand for cotton fibers of specific lengths.

A cotton fiber is composed of a single cell that has differentiated from an epidermal cell of the seed coat, developing through four stages, i.e., initiation, elongation, secondary cell wall thickening and maturation stages. More specifically, the elongation of a cotton fiber commences in the epidermal cell of the ovule immediately following flowering, after which the cotton fiber rapidly elongates for approximately 21 days. Fiber elongation is then terminated, and a secondary cell wall is formed and grown through maturation to become a mature cotton fiber.

Several candidate genes which are associated with the elongation, formation, quality and yield of cotton fibers were disclosed in various patent applications such as U.S. Pat. No. 5,880,100 and U.S. patent application Ser. Nos. 08/580,545, 08/867,484 and 09/262,653 (describing genes involved in cotton fiber elongation stage); WO0245485 (improving fiber quality by modulating sucrose synthase); U.S. Pat. No. 6,472,588 and WO0117333 (increasing fiber quality by transformation with a DNA encoding sucrose phosphate synthase); WO9508914 (using a fiber-specific promoter and a coding sequence encoding cotton peroxidase); WO9626639 (using an ovary specific promoter sequence to express plant growth modifying hormones in cotton ovule tissue, for altering fiber quality characteristics such as fiber dimension and strength); U.S. Pat. Nos. 5,981,834, 5,597,718, 5,620,882, 5,521,708 and 5,495,070 (coding sequences to alter the fiber characteristics of transgenic fiber producing plants); U.S. patent applications U.S. 2002049999 and U.S. 2003074697 (expressing a gene coding for endoxyloglucan transferase, catalase or peroxidase for improving cotton fiber characteristics); WO 01/40250 (improving cotton fiber quality by modulating transcription factor gene expression); WO 96/40924 (a cotton fiber transcriptional initiation regulatory region associated which is expressed in cotton fiber); EP0834566 (a gene which controls the fiber formation mechanism in cotton plant); WO2005/121364 (improving cotton fiber quality by modulating gene expression); WO2008/075364 (improving fiber quality, yield/biomass/vigor and/or abiotic stress tolerance of plants).

WO publication No. 2004/104162 discloses methods of increasing abiotic stress tolerance and/or biomass in plants and plants generated thereby.

WO publication No. 2004/111183 discloses nucleotide sequences for regulating gene expression in plant trichomes and constructs and methods utilizing same.

WO publication No. 2004/081173 discloses novel plant derived regulatory sequences and constructs and methods of using such sequences for directing expression of exogenous polynucleotide sequences in plants.

WO publication No. 2005/121364 discloses polynucleotides and polypeptides involved in plant fiber development and methods of using same for improving fiber quality, yield and/or biomass of a fiber producing plant.

WO publication No. 2007/049275 discloses isolated polypeptides, polynucleotides encoding same, transgenic plants expressing same and methods of using same for increasing fertilizer use efficiency, plant abiotic stress tolerance and biomass.

WO publication No. 2007/020638 discloses methods of increasing abiotic stress tolerance and/or biomass in plants and plants generated thereby.

WO publication No. 2008/122980 discloses genes constructs and methods for increasing oil content, growth rate and biomass of plants.

WO publication No. 2008/075364 discloses polynucleotides involved in plant fiber development and methods of using same.

WO publication No. 2009/083958 discloses methods of increasing water use efficiency, fertilizer use efficiency, biotic/abiotic stress tolerance, yield and biomass in plant and plants generated thereby.

WO publication No. 2009/141824 discloses isolated polynucleotides and methods using same for increasing plant utility.

WO publication No. 2009/013750 discloses genes, constructs and methods of increasing abiotic stress tolerance, biomass and/or yield in plants generated thereby.

WO publication No. 2010/020941 discloses methods of increasing nitrogen use efficiency, abiotic stress tolerance, yield and biomass in plants and plants generated thereby.

WO publication No. 2010/076756 discloses isolated polynucleotides for increasing abiotic stress tolerance, yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, and/or nitrogen use efficiency of a plant.

WO2010/100595 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing plant yield and/or agricultural characteristics.

WO publication No. 2010/049897 discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

WO2010/143138 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, abiotic stress tolerance and/or water use efficiency

WO publication No. 2011/080674 discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

WO2011/015985 publication discloses polynucleotides and polypeptides for increasing desirable plant qualities.

SUMMARY OF THE INVENTION

According to an aspect of some embodiments of the present invention there is provided a method of increasing yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, nitrogen use efficiency, and/or abiotic stress of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least 80% homologous (e.g., identical) to SEQ ID NO: 362-601, 2429-4085 or 4086, thereby increasing the yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, nitrogen use efficiency, and/or abiotic stress of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of increasing yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, nitrogen use efficiency, and/or abiotic stress of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide selected from the group consisting of SEQ ID NOs: 362-601, 2429-4085 and 4086, thereby increasing the yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, nitrogen use efficiency, and/or abiotic stress of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop of a plant expressing an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least 80% homologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 362-601, 2429-4085 and 4086, wherein the plant is derived from a plant selected for increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased nitrogen use efficiency, and/or increased abiotic stress tolerance as compared to a control plant, thereby producing the crop.

According to an aspect of some embodiments of the present invention there is provided a method of increasing yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, nitrogen use efficiency, and/or abiotic stress of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence at least 80% identical to SEQ ID NO: 1-361, 602-2427 or 2428, thereby increasing the yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, nitrogen use efficiency, and/or abiotic stress of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of increasing yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, nitrogen use efficiency, and/or abiotic stress of a plant, comprising expressing within the plant an exogenous polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-361, 602-2427 and 2428, thereby increasing the yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, nitrogen use efficiency, and/or abiotic stress of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop of a plant expressing an exogenous polynucleotide which comprises a nucleic acid sequence which is at least 80% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-361, 602-2427 and 2428, wherein the plant is derived from a plant selected for increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased nitrogen use efficiency, and/or increased abiotic stress tolerance as compared to a control plant, thereby producing the crop.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises an amino acid sequence at least 80% homologous (e.g., identical) to the amino acid sequence set forth in SEQ ID NO: 362-601, 2429-4085 or 4086, wherein the amino acid sequence is capable of increasing yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, nitrogen use efficiency, and/or abiotic stress of a plant.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises the amino acid sequence selected from the group consisting of SEQ ID NOs: 362-601, 2429-4085 and 4086.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising a nucleic acid sequence at least 80% identical to SEQ ID NO: 1-361, 602-2427 or 2428, wherein the nucleic acid sequence is capable of increasing yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, nitrogen use efficiency, and/or abiotic stress of a plant.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-361, 602-2427 and 2428.

According to an aspect of some embodiments of the present invention there is provided a nucleic acid construct comprising the isolated polynucleotide of some embodiments of the invention, and a promoter for directing transcription of the nucleic acid sequence in a host cell.

According to an aspect of some embodiments of the present invention there is provided an isolated polypeptide comprising an amino acid sequence at least 80% homologous (e.g., identical) to SEQ ID NO: 362-601, 2429-4085 or 4086, wherein the amino acid sequence is capable of increasing yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, nitrogen use efficiency, and/or abiotic stress of a plant.

According to an aspect of some embodiments of the present invention there is provided an isolated polypeptide comprising the amino acid sequence selected from the group consisting of SEQ ID NOs: 362-601, 2429-4085 and 4086.

According to an aspect of some embodiments of the present invention there is provided a plant cell exogenously expressing the polynucleotide of some embodiments of the invention, or the nucleic acid construct of some embodiments of the invention.

According to an aspect of some embodiments of the present invention there is provided a plant cell exogenously expressing the polypeptide of some embodiments of the invention.

According to some embodiments of the invention, the nucleic acid sequence encodes an amino acid sequence selected from the group consisting of SEQ ID NOs: 362-601, 2429-4085 and 4086.

According to some embodiments of the invention, the nucleic acid sequence is selected from the group consisting of SEQ ID NOs: 1-361, 602-2427 and 2428.

According to some embodiments of the invention, the polynucleotide consists of the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-361, 602-2427 and 2428.

According to some embodiments of the invention, the nucleic acid sequence encodes the amino acid sequence selected from the group consisting of SEQ ID NOs: 362-601, 2429-4085 and 4086.

According to some embodiments of the invention, the plant cell forms part of a plant.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under the abiotic stress.

According to some embodiments of the invention, the abiotic stress is selected from the group consisting of salinity, drought, osmotic stress, water deprivation, flood, etiolation, low temperature, high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency, nutrient excess, atmospheric pollution and UV irradiation.

According to some embodiments of the invention, the yield comprises seed yield or oil yield.

According to an aspect of some embodiments of the present invention there is provided a transgenic plant comprising the nucleic acid construct of some embodiments of the invention or the plant cell of some embodiments of the invention.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under nitrogen-limiting conditions.

According to some embodiments of the invention, the promoter is heterologous to the isolated polynucleotide and/or to the host cell.

According to an aspect of some embodiments of the present invention there is provided a method of growing a crop, the method comprising seeding seeds and/or planting plantlets of a plant transformed with the isolated polynucleotide of some embodiments of the invention, or the nucleic acid construct of some embodiments of the invention, wherein the plant is derived from plants selected for at least one trait selected from the group consisting of: increased nitrogen use efficiency, increased abiotic stress tolerance, increased biomass, increased growth rate, increased vigor, increased yield, increased fiber yield or quality, and increased oil content as compared to a non-transformed plant, thereby growing the crop.

According to some embodiments of the invention, the non-transformed plant is a wild type plant of identical genetic background.

According to some embodiments of the invention, the non-transformed plant is a wild type plant of the same species.

According to some embodiments of the invention, the non-transformed plant is grown under identical growth conditions.

Unless otherwise defined, all technical and/or scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention pertains. Although methods and materials similar or equivalent to those described herein can be used in the practice or testing of embodiments of the invention, exemplary methods and/or materials are described below. In case of conflict, the patent specification, including definitions, will control. In addition, the materials, methods, and examples are illustrative only and are not intended to be necessarily limiting.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

Some embodiments of the invention are herein described, by way of example only, with reference to the accompanying drawings. With specific reference now to the drawings in detail, it is stressed that the particulars shown are by way of example and for purposes of illustrative discussion of embodiments of the invention. In this regard, the description taken with the drawings makes apparent to those skilled in the art how embodiments of the invention may be practiced.

In the drawings:

FIG. 1 is a schematic illustration of the modified pGI binary plasmid containing the new At6669 promoter (SEQ ID NO: 4111) and the GUSintron (pQYN 6669) used for expressing the isolated polynucleotide sequences of the invention. RB—T-DNA right border; LB—T-DNA left border; MCS—Multiple cloning sites; RE—any restriction enzyme; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; Poly-A signal (polyadenylation signal); GUSintron—the GUS reporter gene (coding sequence and intron). The isolated polynucleotide sequences of the invention were cloned into the vector while replacing the GUSintron reporter gene.

FIG. 2 is a schematic illustration of the modified pGI binary plasmid containing the new At6669 promoter (SEQ ID NO: 4111) (pQFN or pQFNc) used for expressing the isolated polynucleotide sequences of the invention. RB—T-DNA right border; LB—T-DNA left border; MCS—Multiple cloning site; RE—any restriction enzyme; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; Poly-A signal (polyadenylation signal); The isolated polynucleotide sequences of the invention were cloned into the MCS of the vector.

FIGS. 3A-3F are images depicting visualization of root development of transgenic plants exogenously expressing the polynucleotide of some embodiments of the invention when grown in transparent agar plates under normal (FIGS. 3A-3B), osmotic stress (15% PEG; FIGS. 3C-3D) or nitrogen-limiting (FIGS. 3E-3F) conditions. The different transgenes were grown in transparent agar plates for 17 days (7 days nursery and 10 days after transplanting). The plates were photographed every 3-4 days starting at day 1 after transplanting. FIG. 3A—An image of a photograph of plants taken following 10 after transplanting days on agar plates when grown under normal (standard) conditions. FIG. 3B—An image of root analysis of the plants shown in FIG. 3A in which the lengths of the roots measured are represented by arrows. FIG. 3C—An image of a photograph of plants taken following 10 days after transplanting on agar plates, grown under high osmotic (PEG 15%) conditions. FIG. 3D—An image of root analysis of the plants shown in FIG. 3C in which the lengths of the roots measured are represented by arrows. FIG. 3E—An image of a photograph of plants taken following 10 days after transplanting on agar plates, grown under low nitrogen conditions. FIG. 3F—An image of root analysis of the plants shown in FIG. 3E in which the lengths of the roots measured are represented by arrows.

FIG. 4 is a schematic illustration of the modified pGI binary plasmid containing the Root Promoter (pQNa RP) used for expressing the isolated polynucleotide sequences of the invention. RB—T-DNA right border; LB—T-DNA left border; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; Poly-A signal (polyadenylation signal); the isolated polynucleotide sequences according to some embodiments of the invention were cloned into the MCS (Multiple cloning site) of the vector.

FIG. 5 is a schematic illustration of the pQYN plasmid.

FIG. 6 is a schematic illustration of the pQFN plasmid.

FIG. 7 is a schematic illustration of the pQFYN plasmid.

FIG. 8 is a schematic illustration of the modified pGI binary plasmid (pQXNc) used for expressing the isolated polynucleotide sequences of some embodiments of the invention. RB—T-DNA right border; LB—T-DNA left border; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; RE=any restriction enzyme; Poly-A signal (polyadenylation signal); 35S—the 35S promoter (pqfnc; SEQ ID NO: 4107). The isolated polynucleotide sequences of some embodiments of the invention were cloned into the MCS (Multiple cloning site) of the vector.

DESCRIPTION OF SPECIFIC EMBODIMENTS OF THE INVENTION

The present invention, in some embodiments thereof, relates to isolated polynucleotides and polypeptides, nucleic acid constructs encoding same, cells expressing same, transgenic plants expressing same and methods of using same for increasing yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, nitrogen use efficiency and/or abiotic stress tolerance of a plant.

Before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not necessarily limited in its application to the details set forth in the following description or exemplified by the Examples. The invention is capable of other embodiments or of being practiced or carried out in various ways.

The present inventors have identified novel polypeptides and polynucleotides which can be used to generate nucleic acid constructs, transgenic plants and to increase yield, growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, nitrogen use efficiency, fertilizer use efficiency, abiotic stress tolerance and/or water use efficiency of a plant.

Thus, as shown in the Examples section which follows, the present inventors have utilized bioinformatics tools to identify polynucleotides which enhance yield (e.g., seed yield, oil yield, oil content), growth rate, biomass, vigor and/or abiotic stress tolerance of a plant. Genes which affect the trait-of-interest were identified based on expression profiles of genes of several Arabidopsis, tomato, B. juncea, Soghum, Soybean, Brachypodium and cotton ecotypes, varieties and accessions in various tissues and under various growth conditions, homology with genes known to affect the trait-of-interest and using digital expression profile in specific tissues and conditions (Tables 1-53, Examples 1-12). Homologous (e.g., orthologous) polypeptides and polynucleotides having the same function were also identified (Table 54, Example 13). Transgenic plants over-expressing the identified polynucleotides were found to exhibit increased seed yield, oil yield, biomass, vigor, photosynthetic area, dry matter, harvest index, growth rate, rosette area, oil percentage in seed and weight of 1000 seeds (Tables 56-69; Examples 15-17). Altogether, these results suggest the use of the novel polynucleotides and polypeptides of the invention for increasing yield (including oil yield, seed yield and oil content), growth rate, biomass, vigor, fiber yield and/or quality, nitrogen use efficiency and/or abiotic stress tolerance of a plant.

Thus, according to an aspect of some embodiments of the invention, there is provided method of increasing yield, oil content, growth rate, biomass, vigor, fiber yield, fiber quality, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 362-601, 2429-4085 and 4086, thereby increasing the yield, oil content, growth rate, biomass, vigor, fiber yield, fiber quality, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of the plant.

As used herein the phrase “plant yield” refers to the amount (e.g., as determined by weight or size) or quantity (numbers) of tissues or organs produced per plant or per growing season. Hence increased yield could affect the economic benefit one can obtain from the plant in a certain growing area and/or growing time.

It should be noted that a plant yield can be affected by various parameters including, but not limited to, plant biomass; plant vigor; growth rate; seed yield; seed or grain quantity; seed or grain quality; oil yield; content of oil, starch and/or protein in harvested organs (e.g., seeds or vegetative parts of the plant); number of flowers (florets) per panicle (expressed as a ratio of number of filled seeds over number of primary panicles); harvest index; number of plants grown per area; number and size of harvested organs per plant and per area; number of plants per growing area (density); number of harvested organs in field; total leaf area; carbon assimilation and carbon partitioning (the distribution/allocation of carbon within the plant); resistance to shade; number of harvestable organs (e.g. seeds), seeds per pod, weight per seed; and modified architecture [such as increase stalk diameter, thickness or improvement of physical properties (e.g. elasticity)].

As used herein the phrase “seed yield” refers to the number or weight of the seeds per plant, seeds per pod, or per growing area or to the weight of a single seed, or to the oil extracted per seed. Hence seed yield can be affected by seed dimensions (e.g., length, width, perimeter, area and/or volume), number of (filled) seeds and seed filling rate and by seed oil content. Hence increase seed yield per plant could affect the economic benefit one can obtain from the plant in a certain growing area and/or growing time; and increase seed yield per growing area could be achieved by increasing seed yield per plant, and/or by increasing number of plants grown on the same given area.

The term “seed” (also referred to as “grain” or “kernel”) as used herein refers to a small embryonic plant enclosed in a covering called the seed coat (usually with some stored food), the product of the ripened ovule of gymnosperm and angiosperm plants which occurs after fertilization and some growth within the mother plant.

The phrase “oil content” as used herein refers to the amount of lipids in a given plant organ, either the seeds (seed oil content) or the vegetative portion of the plant (vegetative oil content) and is typically expressed as percentage of dry weight (10% humidity of seeds) or wet weight (for vegetative portion).

It should be noted that oil content is affected by intrinsic oil production of a tissue (e.g., seed, vegetative portion), as well as the mass or size of the oil-producing tissue per plant or per growth period.

In one embodiment, increase in oil content of the plant can be achieved by increasing the size/mass of a plant's tissue(s) which comprise oil per growth period. Thus, increased oil content of a plant can be achieved by increasing the yield, growth rate, biomass and vigor of the plant.

As used herein the phrase “plant biomass” refers to the amount (e.g., measured in grams of air-dry tissue) of a tissue produced from the plant in a growing season, which could also determine or affect the plant yield or the yield per growing area. An increase in plant biomass can be in the whole plant or in parts thereof such as aboveground (harvestable) parts, vegetative biomass, roots and seeds.

As used herein the phrase “growth rate” refers to the increase in plant organ/tissue size per time (can be measured in cm² per day).

As used herein the phrase “plant vigor” refers to the amount (measured by weight) of tissue produced by the plant in a given time. Hence increased vigor could determine or affect the plant yield or the yield per growing time or growing area. In addition, early vigor (seed and/or seedling) results in improved field stand.

Improving early vigor is an important objective of modern rice breeding programs in both temperate and tropical rice cultivars. Long roots are important for proper soil anchorage in water-seeded rice. Where rice is sown directly into flooded fields, and where plants must emerge rapidly through water, longer shoots are associated with vigor. Where drill-seeding is practiced, longer mesocotyls and coleoptiles are important for good seedling emergence. The ability to engineer early vigor into plants would be of great importance in agriculture. For example, poor early vigor has been a limitation to the introduction of maize (Zea mays L.) hybrids based on Corn Belt germplasm in the European Atlantic.

It should be noted that a plant yield can be determined under stress (e.g., abiotic stress, nitrogen-limiting conditions) and/or non-stress (normal) conditions.

As used herein, the phrase “non-stress conditions” refers to the growth conditions (e.g., water, temperature, light-dark cycles, humidity, salt concentration, fertilizer concentration in soil, nutrient supply such as nitrogen, phosphorous and/or potassium), that do not significantly go beyond the everyday climatic and other abiotic conditions that plants may encounter, and which allow optimal growth, metabolism, reproduction and/or viability of a plant at any stage in its life cycle (e.g., in a crop plant from seed to a mature plant and back to seed again). Persons skilled in the art are aware of normal soil conditions and climatic conditions for a given plant in a given geographic location. It should be noted that while the non-stress conditions may include some mild variations from the optimal conditions (which vary from one type/species of a plant to another), such variations do not cause the plant to cease growing without the capacity to resume growth.

The phrase “abiotic stress” as used herein refers to any adverse effect on metabolism, growth, reproduction and/or viability of a plant. Accordingly, abiotic stress can be induced by suboptimal environmental growth conditions such as, for example, salinity, water deprivation, flooding, freezing, low or high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency, atmospheric pollution or UV irradiation. The implications of abiotic stress are discussed in the Background section.

The phrase “abiotic stress tolerance” as used herein refers to the ability of a plant to endure an abiotic stress without suffering a substantial alteration in metabolism, growth, productivity and/or viability.

Plants are subject to a range of environmental challenges. Several of these, including salt stress, general osmotic stress, drought stress and freezing stress, have the ability to impact whole plant and cellular water availability. Not surprisingly, then, plant responses to this collection of stresses are related. Zhu (2002) Ann. Rev. Plant Biol. 53: 247-273 et al. note that “most studies on water stress signaling have focused on salt stress primarily because plant responses to salt and drought are closely related and the mechanisms overlap”. Many examples of similar responses and pathways to this set of stresses have been documented. For example, the CBF transcription factors have been shown to condition resistance to salt, freezing and drought (Kasuga et al. (1999) Nature Biotech. 17: 287-291). The Arabidopsis rd29B gene is induced in response to both salt and dehydration stress, a process that is mediated largely through an ABA signal transduction process (Uno et al. (2000) Proc. Natl. Acad. Sci. USA 97: 11632-11637), resulting in altered activity of transcription factors that bind to an upstream element within the rd29B promoter. In Mesembryanthemum crystallinum (ice plant), Patharker and Cushman have shown that a calcium-dependent protein kinase (McCDPK1) is induced by exposure to both drought and salt stresses (Patharker and Cushman (2000) Plant J. 24: 679-691). The stress-induced kinase was also shown to phosphorylate a transcription factor, presumably altering its activity, although transcript levels of the target transcription factor are not altered in response to salt or drought stress. Similarly, Saijo et al. demonstrated that a rice salt/drought-induced calmodulin-dependent protein kinase (OsCDPK7) conferred increased salt and drought tolerance to rice when overexpressed (Saijo et al. (2000) Plant J. 23: 319-327).

Exposure to dehydration invokes similar survival strategies in plants as does freezing stress (see, for example, Yelenosky (1989) Plant Physiol 89: 444-451) and drought stress induces freezing tolerance (see, for example, Siminovitch et al. (1982) Plant Physiol 69: 250-255; and Guy et al. (1992) Planta 188: 265-270). In addition to the induction of cold-acclimation proteins, strategies that allow plants to survive in low water conditions may include, for example, reduced surface area, or surface oil or wax production. In another example increased solute content of the plant prevents evaporation and water loss due to heat, drought, salinity, osmoticum, and the like therefore providing a better plant tolerance to the above stresses.

It will be appreciated that some pathways involved in resistance to one stress (as described above), will also be involved in resistance to other stresses, regulated by the same or homologous genes. Of course, the overall resistance pathways are related, not identical, and therefore not all genes controlling resistance to one stress will control resistance to the other stresses. Nonetheless, if a gene conditions resistance to one of these stresses, it would be apparent to one skilled in the art to test for resistance to these related stresses. Methods of assessing stress resistance are further provided in the Examples section which follows.

As used herein the phrase “water use efficiency (WUE)” refers to the level of organic matter produced per unit of water consumed by the plant, i.e., the dry weight of a plant in relation to the plant's water use, e.g., the biomass produced per unit transpiration.

As used herein the phrase “fertilizer use efficiency” refers to the metabolic process(es) which lead to an increase in the plant's yield, biomass, vigor, and growth rate per fertilizer unit applied. The metabolic process can be the uptake, spread, absorbent, accumulation, relocation (within the plant) and use of one or more of the minerals and organic moieties absorbed by the plant, such as nitrogen, phosphates and/or potassium.

As used herein the phrase “fertilizer-limiting conditions” refers to growth conditions which include a level (e.g., concentration) of a fertilizer applied which is below the level needed for normal plant metabolism, growth, reproduction and/or viability.

As used herein the phrase “nitrogen use efficiency (NUE)” refers to the metabolic process(es) which lead to an increase in the plant's yield, biomass, vigor, and growth rate per nitrogen unit applied. The metabolic process can be the uptake, spread, absorbent, accumulation, relocation (within the plant) and use of nitrogen absorbed by the plant.

As used herein the phrase “nitrogen-limiting conditions” refers to growth conditions which include a level (e.g., concentration) of nitrogen (e.g., ammonium or nitrate) applied which is below the level needed for normal plant metabolism, growth, reproduction and/or viability.

Improved plant NUE and FUE is translated in the field into either harvesting similar quantities of yield, while implementing less fertilizers, or increased yields gained by implementing the same levels of fertilizers. Thus, improved NUE or FUE has a direct effect on plant yield in the field. Thus, the polynucleotides and polypeptides of some embodiments of the invention positively affect plant yield, seed yield, and plant biomass. In addition, the benefit of improved plant NUE will certainly improve crop quality and biochemical constituents of the seed such as protein yield and oil yield.

It should be noted that improved ABST will confer plants with improved vigor also under non-stress conditions, resulting in crops having improved biomass and/or yield e.g., elongated fibers for the cotton industry, higher oil content.

The term “fiber” is usually inclusive of thick-walled conducting cells such as vessels and tracheids and to fibrillar aggregates of many individual fiber cells. Hence, the term “fiber” refers to (a) thick-walled conducting and non-conducting cells of the xylem; (b) fibers of extraxylary origin, including those from phloem, bark, ground tissue, and epidermis; and (c) fibers from stems, leaves, roots, seeds, and flowers or inflorescences (such as those of Sorghum vulgare used in the manufacture of brushes and brooms).

Example of fiber producing plants, include, but are not limited to, agricultural crops such as cotton, silk cotton tree (Kapok, Ceiba pentandra), desert willow, creosote bush, winterfat, balsa, kenaf, roselle, jute, sisal abaca, flax, corn, sugar cane, hemp, ramie, kapok, coir, bamboo, spanish moss and Agave spp. (e.g. sisal).

As used herein the phrase “fiber quality” refers to at least one fiber parameter which is agriculturally desired, or required in the fiber industry (further described hereinbelow). Examples of such parameters, include but are not limited to, fiber length, fiber strength, fiber fitness, fiber weight per unit length, maturity ratio and uniformity (further described hereinbelow.

Cotton fiber (lint) quality is typically measured according to fiber length, strength and fineness. Accordingly, the lint quality is considered higher when the fiber is longer, stronger and finer.

As used herein the phrase “fiber yield” refers to the amount or quantity of fibers produced from the fiber producing plant.

As used herein the term “increasing” refers to at least about 2%, at least about 3%, at least about 4%, at least about 5%, at least about 10%, at least about 15%, at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, increase in yield, oil content, growth rate, biomass, vigor, fiber yield, fiber quality, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of a plant as compared to a native plant or a wild type plant [i.e., a plant not modified with the biomolecules (polynucleotide or polypeptides) of the invention, e.g., a non-transformed plant of the same species which is grown under the same (e.g., identical) growth conditions].

The phrase “expressing within the plant an exogenous polynucleotide” as used herein refers to upregulating the expression level of an exogenous polynucleotide within the plant by introducing the exogenous polynucleotide into a plant cell or plant and expressing by recombinant means, as further described herein below.

As used herein “expressing” refers to expression at the mRNA and optionally polypeptide level.

As used herein, the phrase “exogenous polynucleotide” refers to a heterologous nucleic acid sequence which may not be naturally expressed within the plant (e.g., a nucleic acid sequence from a different species) or which overexpression in the plant is desired. The exogenous polynucleotide may be introduced into the plant in a stable or transient manner, so as to produce a ribonucleic acid (RNA) molecule and/or a polypeptide molecule. It should be noted that the exogenous polynucleotide may comprise a nucleic acid sequence which is identical or partially homologous to an endogenous nucleic acid sequence of the plant.

The term “endogenous” as used herein refers to any polynucleotide or polypeptide which is present and/or naturally expressed within a plant or a cell thereof.

According to some embodiments of the invention, the exogenous polynucleotide of the invention comprises a nucleic acid sequence encoding a polypeptide having an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 362-601, 2429-4085 and 4086.

Homologous sequences include both orthologous and paralogous sequences. The term “paralogous” relates to gene-duplications within the genome of a species leading to paralogous genes. The term “orthologous” relates to homologous genes in different organisms due to ancestral relationship.

One option to identify orthologues in monocot plant species is by performing a reciprocal blast search. This may be done by a first blast involving blasting the sequence-of-interest against any sequence database, such as the publicly available NCBI database which may be found at: Hypertext Transfer Protocol://World Wide Web (dot) ncbi (dot) nlm (dot) nih (dot) gov. If orthologues in rice were sought, the sequence-of-interest would be blasted against, for example, the 28,469 full-length cDNA clones from Oryza sativa Nipponbare available at NCBI. The blast results may be filtered. The full-length sequences of either the filtered results or the non-filtered results are then blasted back (second blast) against the sequences of the organism from which the sequence-of-interest is derived. The results of the first and second blasts are then compared. An orthologue is identified when the sequence resulting in the highest score (best hit) in the first blast identifies in the second blast the query sequence (the original sequence-of-interest) as the best hit. Using the same rational a paralogue (homolog to a gene in the same organism) is found. In case of large sequence families, the ClustalW program may be used [Hypertext Transfer Protocol://World Wide Web (dot) ebi (dot) ac (dot) uk/Tools/clustalw2/index (dot) html], followed by a neighbor-joining tree (Hypertext Transfer Protocol://en (dot) wikipedia (dot) org/wiki/Neighbor-joining) which helps visualizing the clustering.

Homology (e.g., percent homology, identity+similarity) can be determined using any homology comparison software computing a pairwise sequence alignment.

Identity (e.g., percent homology) can be determined using any homology comparison software, including for example, the BlastN software of the National Center of Biotechnology Information (NCBI) such as by using default parameters.

According to some embodiments of the invention, the identity is a global identity, i.e., an identity over the entire amino acid or nucleic acid sequences of the invention and not over portions thereof.

According to some embodiments of the invention, the term “homology” or “homologous” refers to identity of two or more nucleic acid sequences; or identity of two or more amino acid sequences; or the identity of an amino acid sequence to one or more nucleic acid sequence.

According to some embodiments of the invention, the homology is a global homology, i.e., an homology over the entire amino acid or nucleic acid sequences of the invention and not over portions thereof.

The degree of homology or identity between two or more sequences can be determined using various known sequence comparison tools. Following is a non-limiting description of such tools which can be used along with some embodiments of the invention.

Pairwise global alignment was defined by S. B. Needleman and C. D. Wunsch, “A general method applicable to the search of similarities in the amino acid sequence of two proteins” Journal of Molecular Biology, 1970, pages 443-53, volume 48).

For example, when starting from a polypeptide sequence and comparing to other polypeptide sequences, the EMBOSS-6.0.1 Needleman-Wunsch algorithm (available from http://emboss(dot)sourceforge(dot)net/apps/cvs/emboss/apps/needle(dot)html) can be used to find the optimum alignment (including gaps) of two sequences along their entire length—a “Global alignment”. Default parameters for Needleman-Wunsch algorithm (EMBOSS-6.0.1) include: gapopen=10; gapextend=0.5; datafile=EBLOSUM62; brief=YES.

According to some embodiments of the invention, the parameters used with the EMBOSS-6.0.1 tool (for protein-protein comparison) include: gapopen=8; gapextend=2; datafile=EBLOSUM62; brief=YES.

According to some embodiments of the invention, the threshold used to determine homology using the EMBOSS-6.0.1 Needleman-Wunsch algorithm is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.

When starting from a polypeptide sequence and comparing to polynucleotide sequences, the OneModel FramePlus algorithm [Halperin, E., Faigler, S. and Gill-More, R. (1999)—FramePlus: aligning DNA to protein sequences. Bioinformatics, 15, 867-873) (available from http://www(dot)biocceleration(dot)com/Products(dot)html] can be used with following default parameters: model=frame+_p2n.model mode=local.

According to some embodiments of the invention, the parameters used with the OneModel FramePlus algorithm are model=frame+_p2n.model, mode=qglobal.

According to some embodiments of the invention, the threshold used to determine homology using the OneModel FramePlus algorithm is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.

When starting with a polynucleotide sequence and comparing to other polynucleotide sequences the EMBOSS-6.0.1 Needleman-Wunsch algorithm (available from http://emboss(dot)sourceforge(dot)net/apps/cvs/emboss/apps/needle(dot)html) can be used with the following default parameters: (EMBOSS-6.0.1) gapopen=10; gapextend=0.5; datafile=EDNAFULL; brief=YES.

According to some embodiments of the invention, the parameters used with the EMBOSS-6.0.1 Needleman-Wunsch algorithm are gapopen=10; gapextend=0.2; datafile=EDNAFULL; brief=YES.

According to some embodiments of the invention, the threshold used to determine homology using the EMBOSS-6.0.1 Needleman-Wunsch algorithm for comparison of polynucleotides with polynucleotides is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.

According to some embodiment, determination of the degree of homology further requires employing the Smith-Waterman algorithm (for protein-protein comparison or nucleotide-nucleotide comparison).

Default parameters for GenCore 6.0 Smith-Waterman algorithm include: model=sw.model.

According to some embodiments of the invention, the threshold used to determine homology using the Smith-Waterman algorithm is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.

According to some embodiments of the invention, the global homology is performed on sequences which are pre-selected by local homology to the polypeptide or polynucleotide of interest (e.g., 60% identity over 60% of the sequence length), prior to performing the global homology to the polypeptide or polynucleotide of interest (e.g., 80% global homology on the entire sequence). For example, homologous sequences are selected using the BLAST software with the Blastp and tBlastn algorithms as filters for the first stage, and the needle (EMBOSS package) or Frame+ algorithm alignment for the second stage. Local identity (Blast alignments) is defined with a very permissive cutoff—60% Identity on a span of 60% of the sequences lengths because it is used only as a filter for the global alignment stage. In this specific embodiment (when the local identity is used), the default filtering of the Blast package is not utilized (by setting the parameter “−F F”).

In the second stage, homologs are defined based on a global identity of at least 80% to the core gene polypeptide sequence.

According to some embodiments of the invention, two distinct forms for finding the optimal global alignment for protein or nucleotide sequences are used:

1. Between Two Proteins (Following the blastp Filter):

EMBOSS-6.0.1 Needleman-Wunsch algorithm with the following modified parameters: gapopen=8 gapextend=2. The rest of the parameters are unchanged from the default options listed here:

Standard (Mandatory) qualifiers:

-   -   [-asequence] sequence Sequence filename and optional format, or         reference (input USA)     -   [-bsequence] seqall Sequence(s) filename and optional format, or         reference (input USA)     -   -gapopen float [10.0 for any sequence]. The gap open penalty is         the score taken away when a gap is created. The best value         depends on the choice of comparison matrix. The default value         assumes you are using the EBLOSUM62 matrix for protein         sequences, and the EDNAFULL matrix for nucleotide sequences.         (Floating point number from 1.0 to 100.0)     -   -gapextend float [0.5 for any sequence]. The gap extension,         penalty is added to the standard gap penalty for each base or         residue in the gap. This is how long gaps are penalized. Usually         you will expect a few long gaps rather than many short gaps, so         the gap extension penalty should be lower than the gap penalty.         An exception is where one or both sequences are single reads         with possible sequencing errors in which case you would expect         many single base gaps. You can get this result by setting the         gap open penalty to zero (or very low) and using the gap         extension penalty to control gap scoring. (Floating point number         from 0.0 to 10.0)     -   [-outfile] align [*.needle] Output alignment file name

Additional (Optional) Qualifiers:

-   -   -datafile matrixf [EBLOSUM62 for protein, EDNAFULL for DNA].         This is the scoring matrix file used when comparing sequences.         By default it is the file ‘EBLOSUM62’ (for proteins) or the file         ‘EDNAFULL’ (for nucleic sequences). These files are found in the         ‘data’ directory of the EMBOSS installation.

Advanced (Unprompted) Qualifiers:

-   -   -[no]brief boolean [Y] Brief identity and similarity

Associated Qualifiers:

-   -   “-asequence” associated qualifiers     -   -sbegin1 integer Start of the sequence to be used     -   -send1 integer End of the sequence to be used     -   -sreverse1 boolean Reverse (if DNA)     -   -sask1 boolean Ask for begin/end/reverse     -   -snucleotide1 boolean Sequence is nucleotide     -   -sprotein1 boolean Sequence is protein     -   -slower1 boolean Make lower case     -   -supper1 boolean Make upper case     -   -sformat1 string Input sequence format     -   -sdbname1 string Database name     -   -sid1 string Entryname     -   -ufo1 string UFO features     -   -fformat1 string Features format     -   -fopenfile1 string Features file name     -   “-bsequence” associated qualifiers     -   -sbegin2 integer Start of each sequence to be used     -   -send2 integer End of each sequence to be used     -   -sreverse2 boolean Reverse (if DNA)     -   -sask2 boolean Ask for begin/end/reverse     -   -snucleotide2 boolean Sequence is nucleotide     -   -sprotein2 boolean Sequence is protein     -   -slower2 boolean Make lower case     -   -supper2 boolean Make upper case     -   -sformat2 string Input sequence format     -   -sdbname2 string Database name     -   -sid2 string Entryname     -   -ufo2 string UFO features     -   -fformat2 string Features format     -   -fopenfile2 string Features file name     -   “-outfile” associated qualifiers     -   -aformat3 string Alignment format     -   -aextension3 string File name extension     -   -adirectory3 string Output directory     -   -aname3 string Base file name     -   -awidth3 integer Alignment width     -   -aaccshow3 boolean Show accession number in the header     -   -adesshow3 boolean Show description in the header     -   -ausashow3 boolean Show the full USA in the alignment     -   -aglobal3 boolean Show the full sequence in alignment

General Qualifiers:

-   -   -auto boolean Turn off prompts     -   -stdout boolean Write first file to standard output     -   -filter boolean Read first file from standard input, write first         file to standard output     -   -options boolean Prompt for standard and additional values     -   -debug boolean Write debug output to program.dbg     -   -verbose boolean Report some/full command line options     -   -help boolean Report command line options. More information on         associated and general qualifiers can be found with -help         -verbose     -   -warning boolean Report warnings     -   -error boolean Report errors     -   -fatal boolean Report fatal errors     -   -die boolean Report dying program messages

2. Between a Protein Sequence and a Nucleotide Sequence (Following the tblastn Filter): GenCore 6.0 OneModel application utilizing the Frame+ algorithm with the following parameters: model=frame+_p2n.model mode=qglobal -q=protein.sequence -db=nucleotide.sequence. The rest of the parameters are unchanged from the default options:

Usage:

-   om -model=<model_fname> [-q=]query [-db=]database [options] -   -model=<model_fname> Specifies the model that you want to run. All     models supplied by Compugen are located in the directory     $CGNROOT/models/.     Valid Command Line Parameters: -   dev=<dev_name> Selects the device to be used by the application.     -   Valid devices are:     -   bic—Bioccelerator (valid for SW, XSW, FRAME_N2P, and FRAME_P2N         models).     -   xlg—BioXL/G (valid for all models except XSW).     -   xlp—BioXL/P (valid for SW, FRAME+_N2P, and FRAME_P2N models).     -   xlh—BioXL/H (valid for SW, FRAME+_N2P, and FRAME_P2N models).     -   soft—Software device (for all models). -   -q=<query> Defines the query set. The query can be a sequence file     or a database reference. You can specify a query by its name or by     accession number. The format is detected automatically. However, you     may specify a format using the -qfmt parameter. If you do not     specify a query, the program prompts for one. If the query set is a     database reference, an output file is produced for each sequence in     the query. -   -db=<database name> Chooses the database set. The database set can     be a sequence file or a database reference. The database format is     detected automatically. However, you may specify a format using     -dfmt parameter. -   -qacc Add this parameter to the command line if you specify query     using accession numbers. -   -dacc Add this parameter to the command line if you specify a     database using accession numbers. -   -dfmt/-qfmt=<format_type> Chooses the database/query format type.     Possible formats are:     -   fasta—fasta with seq type auto-detected.     -   fastap—fasta protein seq.     -   fastan—fasta nucleic seq.     -   gcg—gcg format, type is auto-detected.     -   gcg9seq—gcg9 format, type is auto-detected.     -   gcg9seqp—gcg9 format protein seq.     -   gcg9seqn—gcg9 format nucleic seq.     -   nbrf—nbrf seq, type is auto-detected.     -   nbrfp—nbrf protein seq.     -   nbrfn—nbrf nucleic seq.     -   embl—embl and swissprot format.     -   genbank—genbank format (nucleic).     -   blast—blast format.     -   nbrf gcg—nbrf-gcg seq, type is auto-detected.     -   nbrf gcgp—nbrf-gcg protein seq.     -   nbrf gcgn—nbrf-gcg nucleic seq.     -   raw—raw ascii sequence, type is auto-detected.     -   rawp—raw ascii protein sequence.     -   rawn—raw ascii nucleic sequence.     -   pir—pir codata format, type is auto-detected.     -   profile—gcg profile (valid only for -qfmt     -   in SW, XSW, FRAME_P2N, and FRAME+_P2N). -   -out=<out fname> The name of the output file. -   -suffix=<name> The output file name suffix. -   -gapop=<n> Gap open penalty. This parameter is not valid for FRAME+.     For FrameSearch the default is 12.0. For other searches the default     is 10.0. -   -gapext=<n> Gap extend penalty. This parameter is not valid for     FRAME+. For FrameSearch the default is 4.0. For other models: the     default for protein searches is 0.05, and the default for nucleic     searches is 1.0. -   -qgapop=<n> The penalty for opening a gap in the query sequence. The     default is 10.0.     Valid for XSW. -   -qgapext=<n> The penalty for extending a gap in the query sequence.     The default is 0.05.     Valid for XSW. -   -start=<n> The position in the query sequence to begin the search. -   -end=<n> The position in the query sequence to stop the search. -   -qtrans Performs a translated search, relevant for a nucleic query     against a protein database.     The nucleic query is translated to six reading frames and a result     is given for each frame.

Valid for SW and XSW.

-   -dtrans Performs a translated search, relevant for a protein query     against a DNA database.     Each database entry is translated to six reading frames and a result     is given for each frame.

Valid for SW and XSW.

Note: “-qtrans” and “-dtrans” options are mutually exclusive.

-   -matrix=<matrix_file> Specifies the comparison matrix to be used in     the search. The matrix must be in the BLAST format. If the matrix     file is not located in $CGNROOT/tables/matrix, specify the full path     as the value of the -matrix parameter. -   -trans=<transtab_name> Translation table. The default location for     the table is $CGNROOT/tables/trans. -   -onestrand Restricts the search to just the top strand of the     query/database nucleic sequence. -   -list=<n> The maximum size of the output hit list. The default is     50. -   -docalign=<n> The number of documentation lines preceding each     alignment. The default is 10. -   -thr_score=<score_name> The score that places limits on the display     of results. Scores that are smaller than -thr_min value or larger     than -thr_max value are not shown. Valid options are: quality.     -   zscore.     -   escore. -   -thr_max=<n> The score upper threshold. Results that are larger than     -thr_max value are not shown. -   -thr_min=<n> The score lower threshold. Results that are lower than     -thr_min value are not shown. -   -align=<n> The number of alignments reported in the output file. -   -noalign Do not display alignment.     Note: “-align” and “-noalign” parameters are mutually exclusive. -   -outfmt=<format_name> Specifies the output format type. The default     format is PFS. Possible values are:     -   PFS—PFS text format     -   FASTA—FASTA text format     -   BLAST—BLAST text format -   -nonorm Do not perform score normalization. -   -norm=<norm_name> Specifies the normalization method. Valid options     are:     -   log—logarithm normalization.     -   std—standard normalization.     -   stat—Pearson statistical method.         Note: “-nonorm” and “-norm” parameters cannot be used together.         Note: Parameters -xgapop, -xgapext, -fgapop, -fgapext, -ygapop,         -ygapext, -delop, and -delext apply only to FRAME+. -   -xgapop=<n> The penalty for opening a gap when inserting a codon     (triplet). The default is 12.0. -   -xgapext=<n> The penalty for extending a gap when inserting a codon     (triplet). The default is 4.0. -   -ygapop=<n> The penalty for opening a gap when deleting an amino     acid. The default is 12.0. -   -ygapext=<n> The penalty for extending a gap when deleting an amino     acid. The default is 4.0. -   -fgapop=<n> The penalty for opening a gap when inserting a DNA base.     The default is 6.0. -   -fgapext=<n> The penalty for extending a gap when inserting a DNA     base. The default is 7.0. -   -delop=<n> The penalty for opening a gap when deleting a DNA base.     The default is 6.0. -   -delext=<n> The penalty for extending a gap when deleting a DNA     base. The default is 7.0. -   -silent No screen output is produced. -   -host=<host_name> The name of the host on which the server runs. By     default, the application uses the host specified in the file     $CGNROOT/cgnhosts. -   -wait Do not go to the background when the device is busy. This     option is not relevant for the Parseq or Soft pseudo device. -   -batch Run the job in the background. When this option is specified,     the file “$CGNROOT/defaults/batch.defaults” is used for choosing the     batch command. If this file does not exist, the command “at now” is     used to run the job.     Note: “-batch” and “-wait” parameters are mutually exclusive. -   -version Prints the software version number. -   -help Displays this help message. To get more specific help type:     -   “om -model=<model_fname> -help”.

According to some embodiments the homology is a local homology or a local identity.

Local alignments tools include, but are not limited to the BlastP, BlastN, BlastX or TBLASTN software of the National Center of Biotechnology Information (NCBI), FASTA, and the Smith-Waterman algorithm.

A tblastn search allows the comparison between a protein sequence to the six-frame translations of a nucleotide database. It can be a very productive way of finding homologous protein coding regions in unannotated nucleotide sequences such as expressed sequence tags (ESTs) and draft genome records (HTG), located in the BLAST databases est and htgs, respectively.

Default parameters for blastp include: Max target sequences: 100; Expected threshold: e⁻⁵; Word size: 3; Max matches in a query range: 0; Scoring parameters: Matrix—BLOSUM62; filters and masking: Filter—low complexity regions.

Local alignments tools, which can be used include, but are not limited to, the tBLASTX algorithm, which compares the six-frame conceptual translation products of a nucleotide query sequence (both strands) against a protein sequence database. Default parameters include: Max target sequences: 100; Expected threshold: 10; Word size: 3; Max matches in a query range: 0; Scoring parameters: Matrix—BLOSUM62; filters and masking: Filter—low complexity regions.

According to some embodiments of the invention, the exogenous polynucleotide of the invention encodes a polypeptide having an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% identical to the amino acid sequence selected from the group consisting of SEQ ID NOs: 362-601, 2429-4085 and 4086.

According to some embodiments of the invention, the method of increasing yield, oil content, growth rate, biomass, vigor, fiber yield, fiber quality, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of a plant, is effected by expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% identical to the amino acid sequence selected from the group consisting of SEQ ID NOs: 362-601, 2429-4085 and 4086, thereby increasing the yield, oil content, growth rate, biomass, vigor, fiber yield, fiber quality, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of the plant.

According to some embodiments of the invention, the exogenous polynucleotide encodes a polypeptide consisting of the amino acid sequence set forth by SEQ ID NO:362-601, 2429-4085 or 4086.

According to an aspect of some embodiments of the invention, the method of increasing yield, oil content, growth rate, biomass, vigor, fiber yield, fiber quality, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of a plant, is effected by expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide comprising an amino acid sequence selected from the group consisting of SEQ ID NOs: 362-601, 2429-4085 and 4086, thereby increasing the yield, oil content, growth rate, biomass, vigor, fiber yield, fiber quality, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the invention, there is provided a method of increasing yield, oil content, growth rate, biomass, vigor, fiber yield, fiber quality, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide selected from the group consisting of SEQ ID NOs: 362-601, 2429-4085 and 4086, thereby increasing the yield, oil content, growth rate, biomass, vigor, fiber yield, fiber quality, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of the plant.

According to some embodiments of the invention, the exogenous polynucleotide encodes a polypeptide consisting of the amino acid sequence set forth by SEQ ID NO: 362-601, 2429-4085 or 4086.

According to some embodiments of the invention the exogenous polynucleotide comprises a nucleic acid sequence which is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-361, 602-2427 and 2428.

According to an aspect of some embodiments of the invention, there is provided a method of increasing yield, oil content, growth rate, biomass, vigor, fiber yield, fiber quality, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-361, 602-2427 and 2428, thereby increasing the yield, oil content, growth rate, biomass, vigor, fiber yield, fiber quality, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of the plant.

According to some embodiments of the invention the exogenous polynucleotide is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polynucleotide selected from the group consisting of SEQ ID NOs: 1-361, 602-2427 and 2428.

According to some embodiments of the invention the exogenous polynucleotide is set forth by SEQ ID NO:1-361, 602-2427 or 2428.

As used herein the term “polynucleotide” refers to a single or double stranded nucleic acid sequence which is isolated and provided in the form of an RNA sequence, a complementary polynucleotide sequence (cDNA), a genomic polynucleotide sequence and/or a composite polynucleotide sequences (e.g., a combination of the above).

The term “isolated” refers to at least partially separated from the natural environment e.g., from a plant cell.

As used herein the phrase “complementary polynucleotide sequence” refers to a sequence, which results from reverse transcription of messenger RNA using a reverse transcriptase or any other RNA dependent DNA polymerase. Such a sequence can be subsequently amplified in vivo or in vitro using a DNA dependent DNA polymerase.

As used herein the phrase “genomic polynucleotide sequence” refers to a sequence derived (isolated) from a chromosome and thus it represents a contiguous portion of a chromosome.

As used herein the phrase “composite polynucleotide sequence” refers to a sequence, which is at least partially complementary and at least partially genomic. A composite sequence can include some exonal sequences required to encode the polypeptide of the present invention, as well as some intronic sequences interposing therebetween. The intronic sequences can be of any source, including of other genes, and typically will include conserved splicing signal sequences. Such intronic sequences may further include cis acting expression regulatory elements.

Nucleic acid sequences encoding the polypeptides of the present invention may be optimized for expression. Examples of such sequence modifications include, but are not limited to, an altered G/C content to more closely approach that typically found in the plant species of interest, and the removal of codons atypically found in the plant species commonly referred to as codon optimization.

The phrase “codon optimization” refers to the selection of appropriate DNA nucleotides for use within a structural gene or fragment thereof that approaches codon usage within the plant of interest. Therefore, an optimized gene or nucleic acid sequence refers to a gene in which the nucleotide sequence of a native or naturally occurring gene has been modified in order to utilize statistically-preferred or statistically-favored codons within the plant. The nucleotide sequence typically is examined at the DNA level and the coding region optimized for expression in the plant species determined using any suitable procedure, for example as described in Sardana et al. (1996, Plant Cell Reports 15:677-681). In this method, the standard deviation of codon usage, a measure of codon usage bias, may be calculated by first finding the squared proportional deviation of usage of each codon of the native gene relative to that of highly expressed plant genes, followed by a calculation of the average squared deviation. The formula used is: 1 SDCU=n=1 N [(Xn−Yn)/Yn]2/N, where Xn refers to the frequency of usage of codon n in highly expressed plant genes, where Yn to the frequency of usage of codon n in the gene of interest and N refers to the total number of codons in the gene of interest. A Table of codon usage from highly expressed genes of dicotyledonous plants is compiled using the data of Murray et al. (1989, Nuc Acids Res. 17:477-498).

One method of optimizing the nucleic acid sequence in accordance with the preferred codon usage for a particular plant cell type is based on the direct use, without performing any extra statistical calculations, of codon optimization Tables such as those provided on-line at the Codon Usage Database through the NIAS (National Institute of Agrobiological Sciences) DNA bank in Japan (Hypertext Transfer Protocol://World Wide Web (dot) kazusa (dot) or (dot) jp/codon/). The Codon Usage Database contains codon usage tables for a number of different species, with each codon usage Table having been statistically determined based on the data present in Genbank.

By using the above Tables to determine the most preferred or most favored codons for each amino acid in a particular species (for example, rice), a naturally-occurring nucleotide sequence encoding a protein of interest can be codon optimized for that particular plant species. This is effected by replacing codons that may have a low statistical incidence in the particular species genome with corresponding codons, in regard to an amino acid, that are statistically more favored. However, one or more less-favored codons may be selected to delete existing restriction sites, to create new ones at potentially useful junctions (5′ and 3′ ends to add signal peptide or termination cassettes, internal sites that might be used to cut and splice segments together to produce a correct full-length sequence), or to eliminate nucleotide sequences that may negatively effect mRNA stability or expression.

The naturally-occurring encoding nucleotide sequence may already, in advance of any modification, contain a number of codons that correspond to a statistically-favored codon in a particular plant species. Therefore, codon optimization of the native nucleotide sequence may comprise determining which codons, within the native nucleotide sequence, are not statistically-favored with regards to a particular plant, and modifying these codons in accordance with a codon usage table of the particular plant to produce a codon optimized derivative. A modified nucleotide sequence may be fully or partially optimized for plant codon usage provided that the protein encoded by the modified nucleotide sequence is produced at a level higher than the protein encoded by the corresponding naturally occurring or native gene. Construction of synthetic genes by altering the codon usage is described in for example PCT Patent Application 93/07278.

According to some embodiments of the invention, the exogenous polynucleotide is a non-coding RNA.

As used herein the phrase ‘non-coding RNA” refers to an RNA molecule which does not encode an amino acid sequence (a polypeptide). Examples of such non-coding RNA molecules include, but are not limited to, an antisense RNA, a pre-miRNA (precursor of a microRNA), or a precursor of a Piwi-interacting RNA (piRNA).

A non-limiting example of a non-coding RNA polynucleotide is provided in SEQ ID NO: 731.

Thus, the invention encompasses nucleic acid sequences described hereinabove; fragments thereof, sequences hybridizable therewith, sequences homologous thereto, sequences encoding similar polypeptides with different codon usage, altered sequences characterized by mutations, such as deletion, insertion or substitution of one or more nucleotides, either naturally occurring or man induced, either randomly or in a targeted fashion.

The invention provides an isolated polynucleotide comprising a nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polynucleotide selected from the group consisting of SEQ ID NOs: 1-361, 602-2427 and 2428.

According to some embodiments of the invention the nucleic acid sequence is capable of increasing yield, oil content, growth rate, biomass, vigor, fiber yield, fiber quality, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of a plant.

According to some embodiments of the invention the isolated polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-361, 602-2427 and 2428.

According to some embodiments of the invention the isolated polynucleotide is set forth by SEQ ID NO:1-361, 602-2427 or 2428.

The invention provides an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous to the amino acid sequence selected from the group consisting of SEQ ID NO: 362-601, 2429-4085 or 4086.

According to some embodiments of the invention the amino acid sequence is capable of increasing yield, oil content, growth rate, biomass, vigor, fiber yield, fiber quality, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of a plant.

The invention provides an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises the amino acid sequence selected from the group consisting of SEQ ID NOs: 362-601, 2429-4085 and 4086.

According to an aspect of some embodiments of the invention, there is provided a nucleic acid construct comprising the isolated polynucleotide of the invention, and a promoter for directing transcription of the nucleic acid sequence in a host cell.

The invention provides an isolated polypeptide comprising an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous to an amino acid sequence selected from the group consisting of SEQ ID NO: 362-601, 2429-4085 or 4086.

According to some embodiments of the invention, the polypeptide comprising an amino acid sequence selected from the group consisting of SEQ ID NOs: 362-601, 2429-4085 and 4086.

According to some embodiments of the invention, the polypeptide is set forth by SEQ ID NO: 362-601, 2429-4085 or 4086.

The invention also encompasses fragments of the above described polypeptides and polypeptides having mutations, such as deletions, insertions or substitutions of one or more amino acids, either naturally occurring or man induced, either randomly or in a targeted fashion.

The term “plant” as used herein encompasses whole plants, ancestors and progeny of the plants and plant parts, including seeds, shoots, stems, roots (including tubers), and plant cells, tissues and organs. The plant may be in any form including suspension cultures, embryos, meristematic regions, callus tissue, leaves, gametophytes, sporophytes, pollen, and microspores. Plants that are particularly useful in the methods of the invention include all plants which belong to the superfamily Viridiplantae, in particular monocotyledonous and dicotyledonous plants including a fodder or forage legume, ornamental plant, food crop, tree, or shrub selected from the list comprising Acacia spp., Acer spp., Actinidia spp., Aesculus spp., Agathis australis, Albizia amara, Alsophila tricolor, Andropogon spp., Arachis spp, Areca catechu, Astelia fragrans, Astragalus cicer, Baikiaea plurijuga, Betula spp., Brassica spp., Bruguiera gymnorrhiza, Burkea africana, Butea frondosa, Cadaba farinosa, Calliandra spp, Camellia sinensis, Canna indica, Capsicum spp., Cassia spp., Centroema pubescens, Chacoomeles spp., Cinnamomum cassia, Coffea arabica, Colophospermum mopane, Coronillia varia, Cotoneaster serotina, Crataegus spp., Cucumis spp., Cupressus spp., Cyathea dealbata, Cydonia oblonga, Cryptomeria japonica, Cymbopogon spp., Cynthea dealbata, Cydonia oblonga, Dalbergia monetaria, Davallia divaricata, Desmodium spp., Dicksonia squarosa, Dibeteropogon amplectens, Dioclea spp, Dolichos spp., Dorycnium rectum, Echinochloa pyramidalis, Ehraffia spp., Eleusine coracana, Eragrestis spp., Erythrina spp., Eucalypfus spp., Euclea schimperi, Eulalia vi/losa, Pagopyrum spp., Feijoa sellowlana, Fragaria spp., Flemingia spp, Freycinetia banksli, Geranium thunbergii, GinAgo biloba, Glycine javanica, Gliricidia spp, Gossypium hirsutum, Grevillea spp., Guibourtia coleosperma, Hedysarum spp., Hemaffhia altissima, Heteropogon contoffus, Hordeum vulgare, Hyparrhenia rufa, Hypericum erectum, Hypeffhelia dissolute, Indigo incamata, Iris spp., Leptarrhena pyrolifolia, Lespediza spp., Lettuca spp., Leucaena leucocephala, Loudetia simplex, Lotonus bainesli, Lotus spp., Macrotyloma axillare, Malus spp., Manihot esculenta, Medicago saliva, Metasequoia glyptostroboides, Musa sapientum, Nicotianum spp., Onobrychis spp., Ornithopus spp., Oryza spp., Peltophorum africanum, Pennisetum spp., Persea gratissima, Petunia spp., Phaseolus spp., Phoenix canariensis, Phormium cookianum, Photinia spp., Picea glauca, Pinus spp., Pisum sativam, Podocarpus totara, Pogonarthria fleckii, Pogonaffhria squarrosa, Populus spp., Prosopis cineraria, Pseudotsuga menziesii, Pterolobium stellatum, Pyrus communis, Quercus spp., Rhaphiolepsis umbellata, Rhopalostylis sapida, Rhus natalensis, Ribes grossularia, Ribes spp., Robinia pseudoacacia, Rosa spp., Rubus spp., Salix spp., Schyzachyrium sanguineum, Sciadopitys vefficillata, Sequoia sempervirens, Sequoiadendron giganteum, Sorghum bicolor, Spinacia spp., Sporobolus fimbriatus, Stiburus alopecuroides, Stylosanthos humilis, Tadehagi spp, Taxodium distichum, Themeda triandra, Trifolium spp., Triticum spp., Tsuga heterophylla, Vaccinium spp., Vicia spp., Vitis vinifera, Watsonia pyramidata, Zantedeschia aethiopica, Zea mays, amaranth, artichoke, asparagus, broccoli, Brussels sprouts, cabbage, canola, carrot, cauliflower, celery, collard greens, flax, kale, lentil, oilseed rape, okra, onion, potato, rice, soybean, straw, sugar beet, sugar cane, sunflower, tomato, squash tea, maize, wheat, barely, rye, oat, peanut, pea, lentil and alfalfa, cotton, rapeseed, canola, pepper, sunflower, tobacco, eggplant, eucalyptus, a tree, an ornamental plant, a perennial grass and a forage crop. Alternatively algae and other non-Viridiplantae can be used for the methods of the present invention.

According to some embodiments of the invention, the plant used by the method of the invention is a crop plant such as rice, maize, wheat, barley, peanut, potato, sesame, olive tree, palm oil, banana, soybean, sunflower, canola, sugarcane, alfalfa, millet, leguminosae (bean, pea), flax, lupinus, rapeseed, tobacco, poplar and cotton.

According to some embodiments of the invention the plant is a dicotyledonous plant.

According to some embodiments of the invention the plant is a monocotyledonous plant.

According to some embodiments of the invention, there is provided a plant cell exogenously expressing the polynucleotide of some embodiments of the invention, the nucleic acid construct of some embodiments of the invention and/or the polypeptide of some embodiments of the invention.

According to some embodiments of the invention, expressing the exogenous polynucleotide of the invention within the plant is effected by transforming one or more cells of the plant with the exogenous polynucleotide, followed by generating a mature plant from the transformed cells and cultivating the mature plant under conditions suitable for expressing the exogenous polynucleotide within the mature plant.

According to some embodiments of the invention, the transformation is effected by introducing to the plant cell a nucleic acid construct which includes the exogenous polynucleotide of some embodiments of the invention and at least one promoter for directing transcription of the exogenous polynucleotide in a host cell (a plant cell). Further details of suitable transformation approaches are provided hereinbelow.

As mentioned, the nucleic acid construct according to some embodiments of the invention comprises a promoter sequence and the isolated polynucleotide of the invention.

According to some embodiments of the invention, the isolated polynucleotide is operably linked to the promoter sequence.

A coding nucleic acid sequence is “operably linked” to a regulatory sequence (e.g., promoter) if the regulatory sequence is capable of exerting a regulatory effect on the coding sequence linked thereto.

As used herein, the term “promoter” refers to a region of DNA which lies upstream of the transcriptional initiation site of a gene to which RNA polymerase binds to initiate transcription of RNA. The promoter controls where (e.g., which portion of a plant) and/or when (e.g., at which stage or condition in the lifetime of an organism) the gene is expressed.

According to some embodiments of the invention, the promoter is heterologous to the isolated polynucleotide and/or to the host cell.

As used herein the phrase “heterologous promoter” refers to a promoter from a different species or from the same species but from a different gene locus as of the isolated polynucleotide sequence.

Any suitable promoter sequence can be used by the nucleic acid construct of the present invention. Preferably the promoter is a constitutive promoter, a tissue-specific, or an abiotic stress-inducible promoter.

According to some embodiments of the invention, the promoter is a plant promoter, which is suitable for expression of the exogenous polynucleotide in a plant cell.

Suitable promoters for expression in wheat include, but are not limited to, Wheat SPA promoter (SEQ ID NO: 4087; Albanietal, Plant Cell, 9: 171-184, 1997, which is fully incorporated herein by reference), wheat LMW (SEQ ID NO: 4088 (longer LMW promoter), and SEQ ID NO: 4089 (LMW promoter) and HMW glutenin-1 (SEQ ID NO: 4090 (Wheat HMW glutenin-1 longer promoter); and SEQ ID NO: 4091 (Wheat HMW glutenin-1 Promoter); Thomas and Flavell, The Plant Cell 2:1171-1180; Furtado et al., 2009 Plant Biotechnology Journal 7:240-253, each of which is fully incorporated herein by reference), wheat alpha, beta and gamma gliadins [e.g., SEQ ID NO: 4092 (wheat alpha gliadin, B genome, promoter); SEQ ID NO: 4093 (wheat gamma gliadin promoter); EMBO 3:1409-15, 1984, which is fully incorporated herein by reference], wheat TdPR60 [SEQ ID NO: 4094 (wheat TdPR60 longer promoter) or SEQ ID NO: 4095 (wheat TdPR60 promoter); Kovalchuk et al., Plant Mol Biol 71:81-98, 2009, which is fully incorporated herein by reference], maize Ub1 Promoter [cultivar Nongda 105 (SEQ ID NO: 4096); GenBank: DQ141598.1; Taylor et al., Plant Cell Rep 1993 12: 491-495, which is fully incorporated herein by reference; and cultivar B73 (SEQ ID NO: 4097); Christensen, A H, et al. Plant Mol. Biol. 18 (4), 675-689 (1992), which is fully incorporated herein by reference]; rice actin 1 (SEQ ID NO: 4098; Mc Elroy et al. 1990, The Plant Cell, Vol. 2, 163-171, which is fully incorporated herein by reference), rice GOS2 [SEQ ID NO: 4099 (rice GOS2 longer promoter) and SEQ ID NO: 4100 (rice GOS2 Promoter); De Pater et al. Plant J. 1992; 2: 837-44, which is fully incorporated herein by reference], arabidopsis Pho1 [SEQ ID NO: 4101 (arabidopsis Pho1 Promoter); Hamburger et al., Plant Cell. 2002; 14: 889-902, which is fully incorporated herein by reference], ExpansinB promoters, e.g., rice ExpB5 [SEQ ID NO: 4102 (rice ExpB5 longer promoter) and SEQ ID NO: 4103 (rice ExpB5 promoter)] and Barley ExpB1 [SEQ ID NO: 4104 (barley ExpB1 Promoter), Won et al. Mol Cells. 2010; 30:369-76, which is fully incorporated herein by reference], barley SS2 (sucrose synthase 2) [(SEQ ID NO: 4105), Guerin and Carbonero, Plant Physiology May 1997 vol. 114 no. 1 55-62, which is fully incorporated herein by reference], and rice PG5a [SEQ ID NO:4106, U.S. Pat. No. 7,700,835, Nakase et al., Plant Mol Biol. 32:621-30, 1996, each of which is fully incorporated herein by reference].

Suitable constitutive promoters include, for example, CaMV 35S promoter [SEQ ID NO: 4107 (CaMV 35S (QFNC) Promoter); SEQ ID NO: 4108 (PJJ 35S from Brachypodium); SEQ ID NO: 4109 (CaMV 35S (OLD) Promoter) (Odell et al., Nature 313:810-812, 1985)], Arabidopsis At6669 promoter (SEQ ID NO: 4110 (Arabidopsis At6669 (OLD) Promoter); see PCT Publication No. WO04081173A2 or the new At6669 promoter (SEQ ID NO: 4111 (Arabidopsis At6669 (NEW) Promoter)); maize Ub1 Promoter [cultivar Nongda 105 (SEQ ID NO:4096); GenBank: DQ141598.1; Taylor et al., Plant Cell Rep 1993 12: 491-495, which is fully incorporated herein by reference; and cultivar B73 (SEQ ID NO:4097); Christensen, A H, et al. Plant Mol. Biol. 18 (4), 675-689 (1992), which is fully incorporated herein by reference]; rice actin 1 (SEQ ID NO: 4098, McElroy et al., Plant Cell 2:163-171, 1990); pEMU (Last et al., Theor. Appl. Genet. 81:581-588, 1991); CaMV 19S (Nilsson et al., Physiol. Plant 100:456-462, 1997); rice GOS2 [SEQ ID NO: 4099 (rice GOS2 longer Promoter) and SEQ ID NO: 4100 (rice GOS2 Promoter), de Pater et al, Plant J November; 2(6):837-44, 1992]; RBCS promoter (SEQ ID NO:4112); Rice cyclophilin (Bucholz et al, Plant Mol Biol. 25(5):837-43, 1994); Maize H3 histone (Lepetit et al, Mol. Gen. Genet. 231: 276-285, 1992); Actin 2 (An et al, Plant J. 10(1); 107-121, 1996) and Synthetic Super MAS (Ni et al., The Plant Journal 7: 661-76, 1995). Other constitutive promoters include those in U.S. Pat. Nos. 5,659,026, 5,608,149; 5,608,144; 5,604,121; 5,569,597: 5,466,785; 5,399,680; 5,268,463; and 5,608,142.

Suitable tissue-specific promoters include, but not limited to, leaf-specific promoters [e.g., AT5G06690 (Thioredoxin) (high expression, SEQ ID NO: 4113), AT5G61520 (AtSTP3) (low expression, SEQ ID NO: 4114) described in Buttner et al 2000 Plant, Cell and Environment 23, 175-184, or the promoters described in Yamamoto et al., Plant J. 12:255-265, 1997; Kwon et al., Plant Physiol. 105:357-67, 1994; Yamamoto et al., Plant Cell Physiol. 35:773-778, 1994; Gotor et al., Plant J. 3:509-18, 1993; Orozco et al., Plant Mol. Biol. 23:1129-1138, 1993; and Matsuoka et al., Proc. Natl. Acad. Sci. USA 90:9586-9590, 1993; as well as Arabidopsis STP3 (AT5G61520) promoter (Buttner et al., Plant, Cell and Environment 23:175-184, 2000)], seed-preferred promoters [e.g., Napin (originated from Brassica napus which is characterized by a seed specific promoter activity; Stuitje A. R. et. al. Plant Biotechnology Journal 1 (4): 301-309; SEQ ID NO: 4115 (Brassica napus NAPIN Promoter) from seed specific genes (Simon, et al., Plant Mol. Biol. 5. 191, 1985; Scofield, et al., J. Biol. Chem. 262: 12202, 1987; Baszczynski, et al., Plant Mol. Biol. 14: 633, 1990), rice PG5a (SEQ ID NO: 4106; U.S. Pat. No. 7,700,835), early seed development Arabidopsis BAN (AT1G61720) (SEQ ID NO: 4116, US 2009/0031450 A1), late seed development Arabidopsis ABI3 (AT3G24650) (SEQ ID NO: 4117 (Arabidopsis ABI3 (AT3G24650) longer Promoter) or 4118 (Arabidopsis ABI3 (AT3G24650) Promoter)) (Ng et al., Plant Molecular Biology 54: 25-38, 2004), Brazil Nut albumin (Pearson' et al., Plant Mol. Biol. 18: 235-245, 1992), legumin (Ellis, et al. Plant Mol. Biol. 10: 203-214, 1988), Glutelin (rice) (Takaiwa, et al., Mol. Gen. Genet. 208: 15-22, 1986; Takaiwa, et al., FEBS Letts. 221: 43-47, 1987), Zein (Matzke et al Plant Mol Biol, 143).323-32 1990), napA (Stalberg, et al, Planta 199: 515-519, 1996), Wheat SPA (SEQ ID NO: 4087; Albanietal, Plant Cell, 9: 171-184, 1997), sunflower oleosin (Cummins, et al., Plant Mol. Biol. 19: 873-876, 1992)], endosperm specific promoters [e.g., wheat LMW (SEQ ID NO: 4088 (Wheat LMW Longer Promoter), and SEQ ID NO: 4089 (Wheat LMW Promoter) and HMW glutenin-1 [(SEQ ID NO: 4090 (Wheat HMW glutenin-1 longer Promoter)); and SEQ ID NO: 4091 (Wheat HMW glutenin-1 Promoter), Thomas and Flavell, The Plant Cell 2:1171-1180, 1990; Mol Gen Genet 216:81-90, 1989; NAR 17:461-2), wheat alpha, beta and gamma gliadins (SEQ ID NO: 4092 (wheat alpha gliadin (B genome) promoter); SEQ ID NO: 4093 (wheat gamma gliadin promoter); EMBO 3:1409-15, 1984), Barley ltrl promoter, barley B1, C, D hordein (Theor Appl Gen 98:1253-62, 1999; Plant J 4:343-55, 1993; Mol Gen Genet 250:750-60, 1996), Barley DOF (Mena et al, The Plant Journal, 116(1): 53-62, 1998), Biz2 (EP99106056.7), Barley SS2 (SEQ ID NO: 4105 (Barley SS2 Promoter); Guerin and Carbonero Plant Physiology 114: 1 55-62, 1997), wheat Tarp60 (Kovalchuk et al., Plant Mol Biol 71:81-98, 2009), barley D-hordein (D-Hor) and B-hordein (B-Hor) (Agnelo Furtado, Robert J. Henry and Alessandro Pellegrineschi (2009)], Synthetic promoter (Vicente-Carbajosa et al., Plant J. 13: 629-640, 1998), rice prolamin NRP33, rice-globulin Glb-1 (Wu et al, Plant Cell Physiology 39(8) 885-889, 1998), rice alpha-globulin REB/OHP-1 (Nakase et al. Plant Mol. Biol. 33: 513-S22, 1997), rice ADP-glucose PP (Trans Res 6:157-68, 1997), maize ESR gene family (Plant J 12:235-46, 1997), sorgum gamma-kafirin (PMB 32:1029-35, 1996)], embryo specific promoters [e.g., rice OSH1 (Sato et al, Proc. Natl. Acad. Sci. USA, 93: 8117-8122), KNOX (Postma-Haarsma of al, Plant Mol. Biol. 39:257-71, 1999), rice oleosin (Wu et at, J. Biochem., 123:386, 1998)], and flower-specific promoters [e.g., AtPRP4, chalene synthase (chsA) (Van der Meer, et al., Plant Mol. Biol. 15, 95-109, 1990), LAT52 (Twell et al Mol. Gen Genet. 217:240-245; 1989), Arabidopsis apetala-3 (Tilly et al., Development. 125:1647-57, 1998), Arabidopsis APETALA 1 (AT1G69120, AP1) (SEQ ID NO: 4119 (Arabidopsis (AT1G69120) APETALA 1)) (Hempel et al., Development 124:3845-3853, 1997)], and root promoters [e.g., the ROOTP promoter [SEQ ID NO: 4120]; rice ExpB5 (SEQ ID NO:4103 (rice ExpB5 Promoter); or SEQ ID NO: 4102 (rice ExpB5 longer Promoter)) and barley ExpB1 promoters (SEQ ID NO:4104) (Won et al. Mol. Cells 30: 369-376, 2010); arabidopsis ATTPS-CIN (AT3G25820) promoter (SEQ ID NO: 4121; Chen et al., Plant Phys 135:1956-66, 2004); arabidopsis Pho1 promoter (SEQ ID NO: 4101, Hamburger et al., Plant Cell. 14: 889-902, 2002), which is also slightly induced by stress].

Suitable abiotic stress-inducible promoters include, but not limited to, salt-inducible promoters such as RD29A (Yamaguchi-Shinozalei et al., Mol. Gen. Genet. 236:331-340, 1993); drought-inducible promoters such as maize rab17 gene promoter (Pla et. al., Plant Mol. Biol. 21:259-266, 1993), maize rab28 gene promoter (Busk et. al., Plant J. 11:1285-1295, 1997) and maize Ivr2 gene promoter (Pelleschi et. al., Plant Mol. Biol. 39:373-380, 1999); heat-inducible promoters such as heat tomato hsp80-promoter from tomato (U.S. Pat. No. 5,187,267).

The nucleic acid construct of some embodiments of the invention can further include an appropriate selectable marker and/or an origin of replication. According to some embodiments of the invention, the nucleic acid construct utilized is a shuttle vector, which can propagate both in E. coli (wherein the construct comprises an appropriate selectable marker and origin of replication) and be compatible with propagation in cells. The construct according to the present invention can be, for example, a plasmid, a bacmid, a phagemid, a cosmid, a phage, a virus or an artificial chromosome.

The nucleic acid construct of some embodiments of the invention can be utilized to stably or transiently transform plant cells. In stable transformation, the exogenous polynucleotide is integrated into the plant genome and as such it represents a stable and inherited trait. In transient transformation, the exogenous polynucleotide is expressed by the cell transformed but it is not integrated into the genome and as such it represents a transient trait.

There are various methods of introducing foreign genes into both monocotyledonous and dicotyledonous plants (Potrykus, I., Annu. Rev. Plant. Physiol., Plant. Mol. Biol. (1991) 42:205-225; Shimamoto et al., Nature (1989) 338:274-276).

The principle methods of causing stable integration of exogenous DNA into plant genomic DNA include two main approaches:

(i) Agrobacterium-mediated gene transfer: Klee et al. (1987) Annu. Rev. Plant Physiol. 38:467-486; Klee and Rogers in Cell Culture and Somatic Cell Genetics of Plants, Vol. 6, Molecular Biology of Plant Nuclear Genes, eds. Schell, J., and Vasil, L. K., Academic Publishers, San Diego, Calif. (1989) p. 2-25; Gatenby, in Plant Biotechnology, eds. Kung, S. and Arntzen, C. J., Butterworth Publishers, Boston, Mass. (1989) p. 93-112.

(ii) Direct DNA uptake: Paszkowski et al., in Cell Culture and Somatic Cell Genetics of Plants, Vol. 6, Molecular Biology of Plant Nuclear Genes eds. Schell, J., and Vasil, L. K., Academic Publishers, San Diego, Calif. (1989) p. 52-68; including methods for direct uptake of DNA into protoplasts, Toriyama, K. et al. (1988) Bio/Technology 6:1072-1074. DNA uptake induced by brief electric shock of plant cells: Zhang et al. Plant Cell Rep. (1988) 7:379-384. Fromm et al. Nature (1986) 319:791-793. DNA injection into plant cells or tissues by particle bombardment, Klein et al. Bio/Technology (1988) 6:559-563; McCabe et al. Bio/Technology (1988) 6:923-926; Sanford, Physiol. Plant. (1990) 79:206-209; by the use of micropipette systems: Neuhaus et al., Theor. Appl. Genet. (1987) 75:30-36; Neuhaus and Spangenberg, Physiol. Plant. (1990) 79:213-217; glass fibers or silicon carbide whisker transformation of cell cultures, embryos or callus tissue, U.S. Pat. No. 5,464,765 or by the direct incubation of DNA with germinating pollen, DeWet et al. in Experimental Manipulation of Ovule Tissue, eds. Chapman, G. P. and Mantell, S. H. and Daniels, W. Longman, London, (1985) p. 197-209; and Ohta, Proc. Natl. Acad. Sci. USA (1986) 83:715-719.

The Agrobacterium system includes the use of plasmid vectors that contain defined DNA segments that integrate into the plant genomic DNA. Methods of inoculation of the plant tissue vary depending upon the plant species and the Agrobacterium delivery system. A widely used approach is the leaf disc procedure which can be performed with any tissue explant that provides a good source for initiation of whole plant differentiation. See, e.g., Horsch et al. in Plant Molecular Biology Manual A5, Kluwer Academic Publishers, Dordrecht (1988) p. 1-9. A supplementary approach employs the Agrobacterium delivery system in combination with vacuum infiltration. The Agrobacterium system is especially viable in the creation of transgenic dicotyledonous plants.

There are various methods of direct DNA transfer into plant cells. In electroporation, the protoplasts are briefly exposed to a strong electric field. In microinjection, the DNA is mechanically injected directly into the cells using very small micropipettes. In microparticle bombardment, the DNA is adsorbed on microprojectiles such as magnesium sulfate crystals or tungsten particles, and the microprojectiles are physically accelerated into cells or plant tissues.

Following stable transformation plant propagation is exercised. The most common method of plant propagation is by seed. Regeneration by seed propagation, however, has the deficiency that due to heterozygosity there is a lack of uniformity in the crop, since seeds are produced by plants according to the genetic variances governed by Mendelian rules. Basically, each seed is genetically different and each will grow with its own specific traits. Therefore, it is preferred that the transformed plant be produced such that the regenerated plant has the identical traits and characteristics of the parent transgenic plant. Therefore, it is preferred that the transformed plant be regenerated by micropropagation which provides a rapid, consistent reproduction of the transformed plants.

Micropropagation is a process of growing new generation plants from a single piece of tissue that has been excised from a selected parent plant or cultivar. This process permits the mass reproduction of plants having the preferred tissue expressing the fusion protein. The new generation plants which are produced are genetically identical to, and have all of the characteristics of, the original plant. Micropropagation allows mass production of quality plant material in a short period of time and offers a rapid multiplication of selected cultivars in the preservation of the characteristics of the original transgenic or transformed plant. The advantages of cloning plants are the speed of plant multiplication and the quality and uniformity of plants produced.

Micropropagation is a multi-stage procedure that requires alteration of culture medium or growth conditions between stages. Thus, the micropropagation process involves four basic stages: Stage one, initial tissue culturing; stage two, tissue culture multiplication; stage three, differentiation and plant formation; and stage four, greenhouse culturing and hardening. During stage one, initial tissue culturing, the tissue culture is established and certified contaminant-free. During stage two, the initial tissue culture is multiplied until a sufficient number of tissue samples are produced to meet production goals. During stage three, the tissue samples grown in stage two are divided and grown into individual plantlets. At stage four, the transformed plantlets are transferred to a greenhouse for hardening where the plants' tolerance to light is gradually increased so that it can be grown in the natural environment.

According to some embodiments of the invention, the transgenic plants are generated by transient transformation of leaf cells, meristematic cells or the whole plant.

Transient transformation can be effected by any of the direct DNA transfer methods described above or by viral infection using modified plant viruses.

Viruses that have been shown to be useful for the transformation of plant hosts include CaMV, Tobacco mosaic virus (TMV), brome mosaic virus (BMV) and Bean Common Mosaic Virus (BV or BCMV). Transformation of plants using plant viruses is described in U.S. Pat. No. 4,855,237 (bean golden mosaic virus; BGV), EP-A 67,553 (TMV), Japanese Published Application No. 63-14693 (TMV), EPA 194,809 (BV), EPA 278,667 (BV); and Gluzman, Y. et al., Communications in Molecular Biology: Viral Vectors, Cold Spring Harbor Laboratory, New York, pp. 172-189 (1988). Pseudovirus particles for use in expressing foreign DNA in many hosts, including plants are described in WO 87/06261.

According to some embodiments of the invention, the virus used for transient transformations is avirulent and thus is incapable of causing severe symptoms such as reduced growth rate, mosaic, ring spots, leaf roll, yellowing, streaking, pox formation, tumor formation and pitting. A suitable avirulent virus may be a naturally occurring avirulent virus or an artificially attenuated virus. Virus attenuation may be effected by using methods well known in the art including, but not limited to, sub-lethal heating, chemical treatment or by directed mutagenesis techniques such as described, for example, by Kurihara and Watanabe (Molecular Plant Pathology 4:259-269, 2003), Gal-on et al. (1992), Atreya et al. (1992) and Huet et al. (1994).

Suitable virus strains can be obtained from available sources such as, for example, the American Type culture Collection (ATCC) or by isolation from infected plants. Isolation of viruses from infected plant tissues can be effected by techniques well known in the art such as described, for example by Foster and Tatlor, Eds. “Plant Virology Protocols: From Virus Isolation to Transgenic Resistance (Methods in Molecular Biology (Humana Pr), Vol 81)”, Humana Press, 1998. Briefly, tissues of an infected plant believed to contain a high concentration of a suitable virus, preferably young leaves and flower petals, are ground in a buffer solution (e.g., phosphate buffer solution) to produce a virus infected sap which can be used in subsequent inoculations.

Construction of plant RNA viruses for the introduction and expression of non-viral exogenous polynucleotide sequences in plants is demonstrated by the above references as well as by Dawson, W. O. et al., Virology (1989) 172:285-292; Takamatsu et al. EMBO J. (1987) 6:307-311; French et al. Science (1986) 231:1294-1297; Takamatsu et al. FEBS Letters (1990) 269:73-76; and U.S. Pat. No. 5,316,931.

When the virus is a DNA virus, suitable modifications can be made to the virus itself. Alternatively, the virus can first be cloned into a bacterial plasmid for ease of constructing the desired viral vector with the foreign DNA. The virus can then be excised from the plasmid. If the virus is a DNA virus, a bacterial origin of replication can be attached to the viral DNA, which is then replicated by the bacteria. Transcription and translation of this DNA will produce the coat protein which will encapsidate the viral DNA. If the virus is an RNA virus, the virus is generally cloned as a cDNA and inserted into a plasmid. The plasmid is then used to make all of the constructions. The RNA virus is then produced by transcribing the viral sequence of the plasmid and translation of the viral genes to produce the coat protein(s) which encapsidate the viral RNA.

In one embodiment, a plant viral polynucleotide is provided in which the native coat protein coding sequence has been deleted from a viral polynucleotide, a non-native plant viral coat protein coding sequence and a non-native promoter, preferably the subgenomic promoter of the non-native coat protein coding sequence, capable of expression in the plant host, packaging of the recombinant plant viral polynucleotide, and ensuring a systemic infection of the host by the recombinant plant viral polynucleotide, has been inserted. Alternatively, the coat protein gene may be inactivated by insertion of the non-native polynucleotide sequence within it, such that a protein is produced. The recombinant plant viral polynucleotide may contain one or more additional non-native subgenomic promoters. Each non-native subgenomic promoter is capable of transcribing or expressing adjacent genes or polynucleotide sequences in the plant host and incapable of recombination with each other and with native subgenomic promoters. Non-native (foreign) polynucleotide sequences may be inserted adjacent the native plant viral subgenomic promoter or the native and a non-native plant viral subgenomic promoters if more than one polynucleotide sequence is included. The non-native polynucleotide sequences are transcribed or expressed in the host plant under control of the subgenomic promoter to produce the desired products.

In a second embodiment, a recombinant plant viral polynucleotide is provided as in the first embodiment except that the native coat protein coding sequence is placed adjacent one of the non-native coat protein subgenomic promoters instead of a non-native coat protein coding sequence.

In a third embodiment, a recombinant plant viral polynucleotide is provided in which the native coat protein gene is adjacent its subgenomic promoter and one or more non-native subgenomic promoters have been inserted into the viral polynucleotide. The inserted non-native subgenomic promoters are capable of transcribing or expressing adjacent genes in a plant host and are incapable of recombination with each other and with native subgenomic promoters. Non-native polynucleotide sequences may be inserted adjacent the non-native subgenomic plant viral promoters such that the sequences are transcribed or expressed in the host plant under control of the subgenomic promoters to produce the desired product.

In a fourth embodiment, a recombinant plant viral polynucleotide is provided as in the third embodiment except that the native coat protein coding sequence is replaced by a non-native coat protein coding sequence.

The viral vectors are encapsidated by the coat proteins encoded by the recombinant plant viral polynucleotide to produce a recombinant plant virus. The recombinant plant viral polynucleotide or recombinant plant virus is used to infect appropriate host plants. The recombinant plant viral polynucleotide is capable of replication in the host, systemic spread in the host, and transcription or expression of foreign gene(s) (exogenous polynucleotide) in the host to produce the desired protein.

Techniques for inoculation of viruses to plants may be found in Foster and Taylor, eds. “Plant Virology Protocols: From Virus Isolation to Transgenic Resistance (Methods in Molecular Biology (Humana Pr), Vol 81)”, Humana Press, 1998; Maramorosh and Koprowski, eds. “Methods in Virology” 7 vols, Academic Press, New York 1967-1984; Hill, S. A. “Methods in Plant Virology”, Blackwell, Oxford, 1984; Walkey, D. G. A. “Applied Plant Virology”, Wiley, New York, 1985; and Kado and Agrawa, eds. “Principles and Techniques in Plant Virology”, Van Nostrand-Reinhold, New York.

In addition to the above, the polynucleotide of the present invention can also be introduced into a chloroplast genome thereby enabling chloroplast expression.

A technique for introducing exogenous polynucleotide sequences to the genome of the chloroplasts is known. This technique involves the following procedures. First, plant cells are chemically treated so as to reduce the number of chloroplasts per cell to about one. Then, the exogenous polynucleotide is introduced via particle bombardment into the cells with the aim of introducing at least one exogenous polynucleotide molecule into the chloroplasts. The exogenous polynucleotides selected such that it is integratable into the chloroplast's genome via homologous recombination which is readily effected by enzymes inherent to the chloroplast. To this end, the exogenous polynucleotide includes, in addition to a gene of interest, at least one polynucleotide stretch which is derived from the chloroplast's genome. In addition, the exogenous polynucleotide includes a selectable marker, which serves by sequential selection procedures to ascertain that all or substantially all of the copies of the chloroplast genomes following such selection will include the exogenous polynucleotide. Further details relating to this technique are found in U.S. Pat. Nos. 4,945,050; and 5,693,507 which are incorporated herein by reference. A polypeptide can thus be produced by the protein expression system of the chloroplast and become integrated into the chloroplast's inner membrane.

Since processes which increase yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, nitrogen use efficiency, and/or abiotic stress of a plant can involve multiple genes acting additively or in synergy (see, for example, in Quesda et al., Plant Physiol. 130:951-063, 2002), the present invention also envisages expressing a plurality of exogenous polynucleotides in a single host plant to thereby achieve superior effect on oil content, yield, growth rate, biomass, vigor and/or abiotic stress tolerance.

Expressing a plurality of exogenous polynucleotides in a single host plant can be effected by co-introducing multiple nucleic acid constructs, each including a different exogenous polynucleotide, into a single plant cell. The transformed cell can then be regenerated into a mature plant using the methods described hereinabove.

Alternatively, expressing a plurality of exogenous polynucleotides in a single host plant can be effected by co-introducing into a single plant-cell a single nucleic-acid construct including a plurality of different exogenous polynucleotides. Such a construct can be designed with a single promoter sequence which can transcribe a polycistronic messenger RNA including all the different exogenous polynucleotide sequences. To enable co-translation of the different polypeptides encoded by the polycistronic messenger RNA, the polynucleotide sequences can be inter-linked via an internal ribosome entry site (IRES) sequence which facilitates translation of polynucleotide sequences positioned downstream of the IRES sequence. In this case, a transcribed polycistronic RNA molecule encoding the different polypeptides described above will be translated from both the capped 5′ end and the two internal IRES sequences of the polycistronic RNA molecule to thereby produce in the cell all different polypeptides. Alternatively, the construct can include several promoter sequences each linked to a different exogenous polynucleotide sequence.

The plant cell transformed with the construct including a plurality of different exogenous polynucleotides, can be regenerated into a mature plant, using the methods described hereinabove.

Alternatively, expressing a plurality of exogenous polynucleotides in a single host plant can be effected by introducing different nucleic acid constructs, including different exogenous polynucleotides, into a plurality of plants. The regenerated transformed plants can then be cross-bred and resultant progeny selected for superior abiotic stress tolerance, water use efficiency, fertilizer use efficiency, growth, biomass, yield and/or vigor traits, using conventional plant breeding techniques.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under the abiotic stress.

Non-limiting examples of abiotic stress conditions include, salinity, osmotic stress, drought, water deprivation, excess of water (e.g., flood, waterlogging), etiolation, low temperature (e.g., cold stress), high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency, nutrient excess, atmospheric pollution and UV irradiation.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under fertilizer limiting conditions (e.g., nitrogen-limiting conditions). Non-limiting examples include growing the plant on soils with low nitrogen content (40-50% Nitrogen of the content present under normal or optimal conditions), or even under sever nitrogen deficiency (0-10% Nitrogen of the content present under normal or optimal conditions).

Thus, the invention encompasses plants exogenously expressing the polynucleotide(s), the nucleic acid constructs and/or polypeptide(s) of the invention.

Once expressed within the plant cell or the entire plant, the level of the polypeptide encoded by the exogenous polynucleotide can be determined by methods well known in the art such as, activity assays, Western blots using antibodies capable of specifically binding the polypeptide, Enzyme-Linked Immuno Sorbent Assay (ELISA), radio-immuno-assays (RIA), immunohistochemistry, immunocytochemistry, immunofluorescence and the like.

Methods of determining the level in the plant of the RNA transcribed from the exogenous polynucleotide are well known in the art and include, for example, Northern blot analysis, reverse transcription polymerase chain reaction (RT-PCR) analysis (including quantitative, semi-quantitative or real-time RT-PCR) and RNA-in situ hybridization.

The sequence information and annotations uncovered by the present teachings can be harnessed in favor of classical breeding. Thus, sub-sequence data of those polynucleotides described above, can be used as markers for marker assisted selection (MAS), in which a marker is used for indirect selection of a genetic determinant or determinants of a trait of interest (e.g., biomass, growth rate, oil content, yield, abiotic stress tolerance, water use efficiency, nitrogen use efficiency and/or fertilizer use efficiency). Nucleic acid data of the present teachings (DNA or RNA sequence) may contain or be linked to polymorphic sites or genetic markers on the genome such as restriction fragment length polymorphism (RFLP), microsatellites and single nucleotide polymorphism (SNP), DNA fingerprinting (DFP), amplified fragment length polymorphism (AFLP), expression level polymorphism, polymorphism of the encoded polypeptide and any other polymorphism at the DNA or RNA sequence.

Examples of marker assisted selections include, but are not limited to, selection for a morphological trait (e.g., a gene that affects form, coloration, male sterility or resistance such as the presence or absence of awn, leaf sheath coloration, height, grain color, aroma of rice); selection for a biochemical trait (e.g., a gene that encodes a protein that can be extracted and observed; for example, isozymes and storage proteins); selection for a biological trait (e.g., pathogen races or insect biotypes based on host pathogen or host parasite interaction can be used as a marker since the genetic constitution of an organism can affect its susceptibility to pathogens or parasites).

The polynucleotides and polypeptides described hereinabove can be used in a wide range of economical plants, in a safe and cost effective manner.

Plant lines exogenously expressing the polynucleotide or the polypeptide of the invention are screened to identify those that show the greatest increase of the desired plant trait.

Thus, according to an additional embodiment of the present invention, there is provided a method of evaluating a trait of a plant, the method comprising: (a) expressing in a plant or a portion thereof the nucleic acid construct of some embodiments of the invention; and (b) evaluating a trait of a plant as compared to a wild type plant of the same type (e.g., a plant not transformed with the claimed biomolecules); thereby evaluating the trait of the plant.

According to an aspect of some embodiments of the invention there is provided a method of producing a crop comprising growing a crop of a plant expressing an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 362-601, 2429-4085 and 4086, wherein the plant is derived from a plant selected for increased yield, increased growth rate, increased biomass, increased vigor, increased fiber yield, increased fiber quality, increased fertilizer use efficiency (e.g., nitrogen use efficiency), increased oil content, and/or increased abiotic stress tolerance as compared to a control plant, thereby producing the crop.

According to an aspect of some embodiments of the invention there is provided a method of producing a crop comprising growing a crop of a plant expressing an exogenous polynucleotide which comprises a nucleic acid sequence which is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-361, 602-2427 and 2428 wherein the plant is derived from a plant selected for increased yield, increased growth rate, increased biomass, increased vigor, increased fiber yield, increased fiber quality, increased fertilizer use efficiency (e.g., nitrogen use efficiency), increased oil content, and/or increased abiotic stress tolerance as compared to a control plant, thereby producing the crop.

According to an aspect of some embodiments of the invention there is provided a method of growing a crop comprising seeding seeds and/or planting plantlets of a plant transformed with the exogenous polynucleotide of the invention, e.g., the polynucleotide which encodes the polypeptide of some embodiments of the invention, wherein the plant is derived from plants selected for at least one trait selected from the group consisting of: increased yield, increased fiber yield or quality, increased oil content, increased biomass, increased growth rate, increased vigor, abiotic stress tolerance, and/or increased nitrogen use efficiency, as compared to a non-transformed plant.

According to some embodiments of the invention the method of growing a crop comprising seeding seeds and/or planting plantlets of a plant transformed with an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to SEQ ID NO: 362-601, 2429-4085 or 4086, wherein the plant is derived from plants selected for at least one trait selected from the group consisting of increased yield, increased fiber yield or quality, increased biomass, increased oil content, increased growth rate, increased vigor, abiotic stress tolerance, and/or increased nitrogen use efficiency as compared to a non-transformed plant, thereby growing the crop.

According to some embodiments of the invention the method of growing a crop comprising seeding seeds and/or planting plantlets of a plant transformed with an exogenous polynucleotide comprising the nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to SEQ ID NO: 1-361, 602-2427 or 2428, wherein the plant is derived from plants selected for at least one trait selected from the group consisting of increased yield, increased fiber yield or quality, increased biomass, increased growth rate, increased vigor, increased oil content, increased abiotic stress tolerance, and/or increased nitrogen use efficiency as compared to a non-transformed plant, thereby growing the crop.

The effect of the transgene (the exogenous polynucleotide encoding the polypeptide) on abiotic stress tolerance can be determined using known methods such as detailed below and in the Examples section which follows.

Abiotic stress tolerance—Transformed (i.e., expressing the transgene) and non-transformed (wild type) plants are exposed to an abiotic stress condition, such as water deprivation, suboptimal temperature (low temperature, high temperature), nutrient deficiency, nutrient excess, a salt stress condition, osmotic stress, heavy metal toxicity, anaerobiosis, atmospheric pollution and UV irradiation.

Salinity tolerance assay—Transgenic plants with tolerance to high salt concentrations are expected to exhibit better germination, seedling vigor or growth in high salt. Salt stress can be effected in many ways such as, for example, by irrigating the plants with a hyperosmotic solution, by cultivating the plants hydroponically in a hyperosmotic growth solution (e.g., Hoagland solution), or by culturing the plants in a hyperosmotic growth medium [e.g., 50% Murashige-Skoog medium (MS medium)]. Since different plants vary considerably in their tolerance to salinity, the salt concentration in the irrigation water, growth solution, or growth medium can be adjusted according to the specific characteristics of the specific plant cultivar or variety, so as to inflict a mild or moderate effect on the physiology and/or morphology of the plants (for guidelines as to appropriate concentration see, Bernstein and Kafkafi, Root Growth Under Salinity Stress In: Plant Roots, The Hidden Half 3rd ed. Waisel Y, Eshel A and Kafkafi U. (editors) Marcel Dekker Inc., New York, 2002, and reference therein).

For example, a salinity tolerance test can be performed by irrigating plants at different developmental stages with increasing concentrations of sodium chloride (for example 50 mM, 100 mM, 200 mM, 400 mM NaCl) applied from the bottom and from above to ensure even dispersal of salt. Following exposure to the stress condition the plants are frequently monitored until substantial physiological and/or morphological effects appear in wild type plants. Thus, the external phenotypic appearance, degree of wilting and overall success to reach maturity and yield progeny are compared between control and transgenic plants.

Quantitative parameters of tolerance measured include, but are not limited to, the average wet and dry weight, growth rate, leaf size, leaf coverage (overall leaf area), the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Transformed plants not exhibiting substantial physiological and/or morphological effects, or exhibiting higher biomass than wild-type plants, are identified as abiotic stress tolerant plants.

Osmotic tolerance test—Osmotic stress assays (including sodium chloride and mannitol assays) are conducted to determine if an osmotic stress phenotype was sodium chloride-specific or if it was a general osmotic stress related phenotype. Plants which are tolerant to osmotic stress may have more tolerance to drought and/or freezing. For salt and osmotic stress germination experiments, the medium is supplemented for example with 50 mM, 100 mM, 200 mM NaCl or 100 mM, 200 mM NaCl, 400 mM mannitol.

Drought tolerance assay/Osmoticum assay—Tolerance to drought is performed to identify the genes conferring better plant survival after acute water deprivation. To analyze whether the transgenic plants are more tolerant to drought, an osmotic stress produced by the non-ionic osmolyte sorbitol in the medium can be performed. Control and transgenic plants are germinated and grown in plant-agar plates for 4 days, after which they are transferred to plates containing 500 mM sorbitol. The treatment causes growth retardation, then both control and transgenic plants are compared, by measuring plant weight (wet and dry), yield, and by growth rates measured as time to flowering.

Conversely, soil-based drought screens are performed with plants overexpressing the polynucleotides detailed above. Seeds from control Arabidopsis plants, or other transgenic plants overexpressing the polypeptide of the invention are germinated and transferred to pots. Drought stress is obtained after irrigation is ceased accompanied by placing the pots on absorbent paper to enhance the soil-drying rate. Transgenic and control plants are compared to each other when the majority of the control plants develop severe wilting. Plants are re-watered after obtaining a significant fraction of the control plants displaying a severe wilting. Plants are ranked comparing to controls for each of two criteria: tolerance to the drought conditions and recovery (survival) following re-watering.

Cold stress tolerance—To analyze cold stress, mature (25 day old) plants are transferred to 4° C. chambers for 1 or 2 weeks, with constitutive light. Later on plants are moved back to greenhouse. Two weeks later damages from chilling period, resulting in growth retardation and other phenotypes, are compared between both control and transgenic plants, by measuring plant weight (wet and dry), and by comparing growth rates measured as time to flowering, plant size, yield, and the like.

Heat stress tolerance—Heat stress tolerance is achieved by exposing the plants to temperatures above 34° C. for a certain period. Plant tolerance is examined after transferring the plants back to 22° C. for recovery and evaluation after 5 days relative to internal controls (non-transgenic plants) or plants not exposed to neither cold or heat stress.

Water use efficiency—can be determined as the biomass produced per unit transpiration. To analyze WUE, leaf relative water content can be measured in control and transgenic plants. Fresh weight (FW) is immediately recorded; then leaves are soaked for 8 hours in distilled water at room temperature in the dark, and the turgid weight (TW) is recorded. Total dry weight (DW) is recorded after drying the leaves at 60° C. to a constant weight. Relative water content (RWC) is calculated according to the following Formula I: RWC=[(FW−DW)/(TW−DW)]×100  Formula I

Fertilizer use efficiency—To analyze whether the transgenic plants are more responsive to fertilizers, plants are grown in agar plates or pots with a limited amount of fertilizer, as described, for example, in Yanagisawa et al (Proc Natl Acad Sci USA. 2004; 101:7833-8). The plants are analyzed for their overall size, time to flowering, yield, protein content of shoot and/or grain. The parameters checked are the overall size of the mature plant, its wet and dry weight, the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Other parameters that may be tested are: the chlorophyll content of leaves (as nitrogen plant status and the degree of leaf verdure is highly correlated), amino acid and the total protein content of the seeds or other plant parts such as leaves or shoots, oil content, etc. Similarly, instead of providing nitrogen at limiting amounts, phosphate or potassium can be added at increasing concentrations. Again, the same parameters measured are the same as listed above. In this way, nitrogen use efficiency (NUE), phosphate use efficiency (PUE) and potassium use efficiency (KUE) are assessed, checking the ability of the transgenic plants to thrive under nutrient restraining conditions.

Nitrogen use efficiency—To analyze whether the transgenic plants (e.g., Arabidopsis plants) are more responsive to nitrogen, plant are grown in 0.75-3 mM (nitrogen deficient conditions) or 6-10 mM (optimal nitrogen concentration). Plants are allowed to grow for additional 25 days or until seed production. The plants are then analyzed for their overall size, time to flowering, yield, protein content of shoot and/or grain/seed production. The parameters checked can be the overall size of the plant, wet and dry weight, the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Other parameters that may be tested are: the chlorophyll content of leaves (as nitrogen plant status and the degree of leaf greenness is highly correlated), amino acid and the total protein content of the seeds or other plant parts such as leaves or shoots and oil content. Transformed plants not exhibiting substantial physiological and/or morphological effects, or exhibiting higher measured parameters levels than wild-type plants, are identified as nitrogen use efficient plants.

Nitrogen Use efficiency assay using plantlets—The assay is done according to Yanagisawa-S. et al. with minor modifications (“Metabolic engineering with Dof1 transcription factor in plants: Improved nitrogen assimilation and growth under low-nitrogen conditions” Proc. Natl. Acad. Sci. USA 101, 7833-7838). Briefly, transgenic plants which are grown for 7-10 days in 0.5×MS [Murashige-Skoog] supplemented with a selection agent are transferred to two nitrogen-limiting conditions: MS media in which the combined nitrogen concentration (NH₄NO₃ and KNO₃) was 0.75 mM (nitrogen deficient conditions) or 6-15 mM (optimal nitrogen concentration). Plants are allowed to grow for additional 30-40 days and then photographed, individually removed from the Agar (the shoot without the roots) and immediately weighed (fresh weight) for later statistical analysis. Constructs for which only T1 seeds are available are sown on selective media and at least 20 seedlings (each one representing an independent transformation event) are carefully transferred to the nitrogen-limiting media. For constructs for which T2 seeds are available, different transformation events are analyzed. Usually, 20 randomly selected plants from each event are transferred to the nitrogen-limiting media allowed to grow for 3-4 additional weeks and individually weighed at the end of that period. Transgenic plants are compared to control plants grown in parallel under the same conditions. Mock-transgenic plants expressing the uidA reporter gene (GUS) under the same promoter or transgenic plants carrying the same promoter but lacking a reporter gene are used as control.

Nitrogen determination—The procedure for N (nitrogen) concentration determination in the structural parts of the plants involves the potassium persulfate digestion method to convert organic N to NO₃ ⁻ (Purcell and King 1996 Argon. J. 88:111-113, the modified Cd⁻ mediated reduction of NO₃ ⁻ to NO₂ ⁻ (Vodovotz 1996 Biotechniques 20:390-394) and the measurement of nitrite by the Griess assay (Vodovotz 1996, supra). The absorbance values are measured at 550 nm against a standard curve of NaNO₂. The procedure is described in details in Samonte et al. 2006 Agron. J. 98:168-176.

Germination tests—Germination tests compare the percentage of seeds from transgenic plants that could complete the germination process to the percentage of seeds from control plants that are treated in the same manner. Normal conditions are considered for example, incubations at 22° C. under 22-hour light 2-hour dark daily cycles. Evaluation of germination and seedling vigor is conducted between 4 and 14 days after planting. The basal media is 50% MS medium (Murashige and Skoog, 1962 Plant Physiology 15, 473-497).

Germination is checked also at unfavorable conditions such as cold (incubating at temperatures lower than 10° C. instead of 22° C.) or using seed inhibition solutions that contain high concentrations of an osmolyte such as sorbitol (at concentrations of 50 mM, 100 mM, 200 mM, 300 mM, 500 mM, and up to 1000 mM) or applying increasing concentrations of salt (of 50 mM, 100 mM, 200 mM, 300 mM, 500 mM NaCl).

The effect of the transgene on plant's vigor, growth rate, biomass, yield and/or oil content can be determined using known methods.

Plant vigor—The plant vigor can be calculated by the increase in growth parameters such as leaf area, fiber length, rosette diameter, plant fresh weight and the like per time.

Growth rate—The growth rate can be measured using digital analysis of growing plants. For example, images of plants growing in greenhouse on plot basis can be captured every 3 days and the rosette area can be calculated by digital analysis. Rosette area growth is calculated using the difference of rosette area between days of sampling divided by the difference in days between samples.

Evaluation of growth rate can be done by measuring plant biomass produced, rosette area, leaf size or root length per time (can be measured in cm² per day of leaf area).

Relative growth area can be calculated using Formula II. Growth rate area=Regression coefficient of area along time course.  Formula II:

Thus, the growth rate area is in units of 1/day and length growth rate is in units of 1/day.

Seed yield—Evaluation of the seed yield per plant can be done by measuring the amount (weight or size) or quantity (i.e., number) of dry seeds produced and harvested from 8-16 plants and divided by the number of plants.

For example, the total seeds from 8-16 plants can be collected, weighted using e.g., an analytical balance and the total weight can be divided by the number of plants. Seed yield per growing area can be calculated in the same manner while taking into account the growing area given to a single plant. Increase seed yield per growing area could be achieved by increasing seed yield per plant, and/or by increasing number of plants capable of growing in a given area.

In addition, seed yield can be determined via the weight of 1000 seeds. The weight of 1000 seeds can be determined as follows: seeds are scattered on a glass tray and a picture is taken. Each sample is weighted and then using the digital analysis, the number of seeds in each sample is calculated.

The 1000 seeds weight can be calculated using formula III: 1000 Seed Weight=number of seed in sample/sample weight×1000  Formula III:

The Harvest Index can be calculated using Formula IV Harvest Index=Average seed yield per plant/Average dry weight  Formula IV:

Grain protein concentration—Grain protein content (g grain protein m⁻²) is estimated as the product of the mass of grain N (g grain N m⁻²) multiplied by the N/protein conversion ratio of k-5.13 (Mosse 1990, supra). The grain protein concentration is estimated as the ratio of grain protein content per unit mass of the grain (g grain protein kg⁻¹ grain).

Fiber length—Fiber length can be measured using fibrograph. The fibrograph system was used to compute length in terms of “Upper Half Mean” length. The upper half mean (UHM) is the average length of longer half of the fiber distribution. The fibrograph measures length in span lengths at a given percentage point (Hypertext Transfer Protocol://World Wide Web (dot) cottoninc (dot) com/ClassificationofCotton/?Pg=4#Length).

According to some embodiments of the invention, increased yield of corn may be manifested as one or more of the following: increase in the number of plants per growing area, increase in the number of ears per plant, increase in the number of rows per ear, number of kernels per ear row, kernel weight, thousand kernel weight (1000-weight), ear length/diameter, increase oil content per kernel and increase starch content per kernel.

As mentioned, the increase of plant yield can be determined by various parameters. For example, increased yield of rice may be manifested by an increase in one or more of the following: number of plants per growing area, number of panicles per plant, number of spikelets per panicle, number of flowers per panicle, increase in the seed filling rate, increase in thousand kernel weight (1000-weight), increase oil content per seed, increase starch content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Similarly, increased yield of soybean may be manifested by an increase in one or more of the following: number of plants per growing area, number of pods per plant, number of seeds per pod, increase in the seed filling rate, increase in thousand seed weight (1000-weight), reduce pod shattering, increase oil content per seed, increase protein content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Increased yield of canola may be manifested by an increase in one or more of the following: number of plants per growing area, number of pods per plant, number of seeds per pod, increase in the seed filling rate, increase in thousand seed weight (1000-weight), reduce pod shattering, increase oil content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Increased yield of cotton may be manifested by an increase in one or more of the following: number of plants per growing area, number of bolls per plant, number of seeds per boll, increase in the seed filling rate, increase in thousand seed weight (1000-weight), increase oil content per seed, improve fiber length, fiber strength, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Oil content—The oil content of a plant can be determined by extraction of the oil from the seed or the vegetative portion of the plant. Briefly, lipids (oil) can be removed from the plant (e.g., seed) by grinding the plant tissue in the presence of specific solvents (e.g., hexane or petroleum ether) and extracting the oil in a continuous extractor. Indirect oil content analysis can be carried out using various known methods such as Nuclear Magnetic Resonance (NMR) Spectroscopy, which measures the resonance energy absorbed by hydrogen atoms in the liquid state of the sample [See for example, Conway T F. and Earle F R., 1963, Journal of the American Oil Chemists' Society; Springer Berlin/Heidelberg, ISSN: 0003-021X (Print) 1558-9331 (Online)]; the Near Infrared (NI) Spectroscopy, which utilizes the absorption of near infrared energy (1100-2500 nm) by the sample; and a method described in WO/2001/023884, which is based on extracting oil a solvent, evaporating the solvent in a gas stream which forms oil particles, and directing a light into the gas stream and oil particles which forms a detectable reflected light.

Thus, the present invention is of high agricultural value for promoting the yield of commercially desired crops (e.g., biomass of vegetative organ such as poplar wood, or reproductive organ such as number of seeds or seed biomass).

Any of the transgenic plants described hereinabove or parts thereof may be processed to produce a feed, meal, protein or oil preparation, such as for ruminant animals.

The transgenic plants described hereinabove, which exhibit an increased oil content can be used to produce plant oil (by extracting the oil from the plant).

The plant oil (including the seed oil and/or the vegetative portion oil) produced according to the method of the invention may be combined with a variety of other ingredients. The specific ingredients included in a product are determined according to the intended use. Exemplary products include animal feed, raw material for chemical modification, biodegradable plastic, blended food product, edible oil, biofuel, cooking oil, lubricant, biodiesel, snack food, cosmetics, and fermentation process raw material. Exemplary products to be incorporated to the plant oil include animal feeds, human food products such as extruded snack foods, breads, as a food binding agent, aquaculture feeds, fermentable mixtures, food supplements, sport drinks, nutritional food bars, multi-vitamin supplements, diet drinks, and cereal foods.

According to some embodiments of the invention, the oil comprises a seed oil.

According to some embodiments of the invention, the oil comprises a vegetative portion oil (oil of the vegetative portion of the plant).

According to some embodiments of the invention, the plant cell forms a part of a plant.

According to another embodiment of the present invention, there is provided a food or feed comprising the plants or a portion thereof of the present invention.

As used herein the term “about” refers to ±10%.

The terms “comprises”, “comprising”, “includes”, “including”, “having” and their conjugates mean “including but not limited to”.

The term “consisting of” means “including and limited to”.

The term “consisting essentially of” means that the composition, method or structure may include additional ingredients, steps and/or parts, but only if the additional ingredients, steps and/or parts do not materially alter the basic and novel characteristics of the claimed composition, method or structure.

As used herein, the singular form “a”, “an” and “the” include plural references unless the context clearly dictates otherwise. For example, the term “a compound” or “at least one compound” may include a plurality of compounds, including mixtures thereof.

Throughout this application, various embodiments of this invention may be presented in a range format. It should be understood that the description in range format is merely for convenience and brevity and should not be construed as an inflexible limitation on the scope of the invention. Accordingly, the description of a range should be considered to have specifically disclosed all the possible subranges as well as individual numerical values within that range. For example, description of a range such as from 1 to 6 should be considered to have specifically disclosed subranges such as from 1 to 3, from 1 to 4, from 1 to 5, from 2 to 4, from 2 to 6, from 3 to 6 etc., as well as individual numbers within that range, for example, 1, 2, 3, 4, 5, and 6. This applies regardless of the breadth of the range.

Whenever a numerical range is indicated herein, it is meant to include any cited numeral (fractional or integral) within the indicated range. The phrases “ranging/ranges between” a first indicate number and a second indicate number and “ranging/ranges from” a first indicate number “to” a second indicate number are used herein interchangeably and are meant to include the first and second indicated numbers and all the fractional and integral numerals therebetween.

As used herein the term “method” refers to manners, means, techniques and procedures for accomplishing a given task including, but not limited to, those manners, means, techniques and procedures either known to, or readily developed from known manners, means, techniques and procedures by practitioners of the chemical, pharmacological, biological, biochemical and medical arts.

It is appreciated that certain features of the invention, which are, for clarity, described in the context of separate embodiments, may also be provided in combination in a single embodiment. Conversely, various features of the invention, which are, for brevity, described in the context of a single embodiment, may also be provided separately or in any suitable subcombination or as suitable in any other described embodiment of the invention. Certain features described in the context of various embodiments are not to be considered essential features of those embodiments, unless the embodiment is inoperative without those elements.

Various embodiments and aspects of the present invention as delineated hereinabove and as claimed in the claims section below find experimental support in the following examples.

EXAMPLES

Reference is now made to the following examples, which together with the above descriptions illustrate some embodiments of the invention in a non limiting fashion.

Generally, the nomenclature used herein and the laboratory procedures utilized in the present invention include molecular, biochemical, microbiological and recombinant DNA techniques. Such techniques are thoroughly explained in the literature. See, for example, “Molecular Cloning: A laboratory Manual” Sambrook et al., (1989); “Current Protocols in Molecular Biology” Volumes I-III Ausubel, R. M., ed. (1994); Ausubel et al., “Current Protocols in Molecular Biology”, John Wiley and Sons, Baltimore, Md. (1989); Perbal, “A Practical Guide to Molecular Cloning”, John Wiley & Sons, New York (1988); Watson et al., “Recombinant DNA”, Scientific American Books, New York; Birren et al. (eds) “Genome Analysis: A Laboratory Manual Series”, Vols. 1-4, Cold Spring Harbor Laboratory Press, New York (1998); methodologies as set forth in U.S. Pat. Nos. 4,666,828; 4,683,202; 4,801,531; 5,192,659 and 5,272,057; “Cell Biology: A Laboratory Handbook”, Volumes I-III Cellis, J. E., ed. (1994); “Current Protocols in Immunology” Volumes I-III Coligan J. E., ed. (1994); Stites et al. (eds), “Basic and Clinical Immunology” (8th Edition), Appleton & Lange, Norwalk, Conn. (1994); Mishell and Shiigi (eds), “Selected Methods in Cellular Immunology”, W. H. Freeman and Co., New York (1980); available immunoassays are extensively described in the patent and scientific literature, see, for example, U.S. Pat. Nos. 3,791,932; 3,839,153; 3,850,752; 3,850,578; 3,853,987; 3,867,517; 3,879,262; 3,901,654; 3,935,074; 3,984,533; 3,996,345; 4,034,074; 4,098,876; 4,879,219; 5,011,771 and 5,281,521; “Oligonucleotide Synthesis” Gait, M. J., ed. (1984); “Nucleic Acid Hybridization” Hames, B. D., and Higgins S. J., eds. (1985); “Transcription and Translation” Hames, B. D., and Higgins S. J., Eds. (1984); “Animal Cell Culture” Freshney, R. I., ed. (1986); “Immobilized Cells and Enzymes” IRL Press, (1986); “A Practical Guide to Molecular Cloning” Perbal, B., (1984) and “Methods in Enzymology” Vol. 1-317, Academic Press; “PCR Protocols: A Guide To Methods And Applications”, Academic Press, San Diego, Calif. (1990); Marshak et al., “Strategies for Protein Purification and Characterization—A Laboratory Course Manual” CSHL Press (1996); all of which are incorporated by reference as if fully set forth herein. Other general references are provided throughout this document. The procedures therein are believed to be well known in the art and are provided for the convenience of the reader. All the information contained therein is incorporated herein by reference.

General Experimental and Bioinformatics Methods

RNA extraction—Tissues growing at various growth conditions (as described below) were sampled and RNA was extracted using TRIzol Reagent from Invitrogen [Hypertext Transfer Protocol://World Wide Web (dot) invitrogen (dot) com/content (dot)cfm?pageid=469]. Approximately 30-50 mg of tissue was taken from samples. The weighed tissues were ground using pestle and mortar in liquid nitrogen and resuspended in 500 μl of TRIzol Reagent. To the homogenized lysate, 100 μl of chloroform was added followed by precipitation using isopropanol and two washes with 75% ethanol. The RNA was eluted in 30 μl of RNase-free water. RNA samples were cleaned up using Qiagen's RNeasy minikit clean-up protocol as per the manufacturer's protocol (QIAGEN Inc, CA USA). For convenience, each micro-array expression information tissue type has received an expression Set ID.

Correlation analysis—was performed for selected genes according to some embodiments of the invention, in which the characterized parameters (measured parameters according to the correlation IDs) were used as “x axis” for correlation with the tissue transcriptome which was used as the “Y axis”. For each gene and measured parameter a correlation coefficient “R” was calculated (using Pearson correlation) along with a p-value for the significance of the correlation. When the correlation coefficient (R) between the levels of a gene's expression in a certain tissue and a phenotypic performance across ecotypes/variety/hybrid is high in absolute value (between 0.5-1), there is an association between the gene (specifically the expression level of this gene) the phenotypic characteristic (e.g., improved nitrogen use efficiency, abiotic stress tolerance, yield, growth rate and the like).

Example 1

Identification of Genes and Predicted Role Using Bioinformatics Tools

The present inventors have identified polynucleotides which can increase plant yield, seed yield, oil yield, oil content, biomass, growth rate, fiber yield and/or quality, abiotic stress tolerance, nitrogen use efficiency and/or vigor of a plant, as follows.

The nucleotide sequence datasets used here were from publicly available databases or from sequences obtained using the Solexa technology (e.g. Barley and Sorghum). Sequence data from 100 different plant species was introduced into a single, comprehensive database. Other information on gene expression, protein annotation, enzymes and pathways were also incorporated. Major databases used include:

Genomes

Arabidopsis genome [TAIR genome version 8 (Hypertext Transfer Protocol://World Wide Web (dot) arabidopsis (dot) org/)];

Rice genome [build 6.0 (Hypertext Transfer Protocol://http://rice (dot) plantbiology(dot)msu(dot)edu/index(dot)shtml];

Poplar [Populus trichocarpa release 1.1 from JGI (assembly release v1.0) (Hypertext Transfer Protocol://World Wide Web (dot) genome (dot) jgi-psf (dot) org/)];

Brachypodium [JGI 4× assembly, Hypertext Transfer Protocol://World Wide Web (dot) brachypodium (dot) org)];

Soybean [DOE-JGI SCP, version Glymal (Hypertext Transfer Protocol://World Wide Web (dot) phytozome (dot) net/)];

Grape [French-Italian Public Consortium for Grapevine Genome Characterization grapevine genome (Hypertext Transfer Protocol://World Wide Web (dot) genoscope (dot) cns (dot) fr/)];

Castobean [TIGR/J Craig Venter Institute 4× assembly [(Hypertext Transfer Protocol://msc (dot) jcvi (dot) org/r communis];

Sorghum [DOE-JGI SCP, version Sbi1 [Hypertext Transfer Protocol://World Wide Web (dot) phytozome (dot) net/)];

Partially assembled genome of Maize [Hypertext Transfer Protocol://maizesequence (dot) org/];

Expressed EST and mRNA Sequences were Extracted from the Following Databases:

EST and RNA Sequences from NCBI (Hypertext Transfer Protocol://World Wide Web (dot) ncbi (dot) nlm (dot) nih (dot) gov/dbEST/);

RefSeq (Hypertext Transfer Protocol://World Wide Web (dot) ncbi (dot) nlm (dot) nih (dot) gov/RefSeq/);

TAIR (Hypertext Transfer Protocol://World Wide Web (dot) arabidopsis (dot) org/);

Protein and Pathway Databases

Uniprot [Hypertext Transfer Protocol://World Wide Web (dot) uniprot (dot) org/].

AraCyc [Hypertext Transfer Protocol://World Wide Web (dot) arabidopsis (dot) org/biocyc/index (dot) jsp].

ENZYME [Hypertext Transfer Protocol://expasy (dot) org/enzyme/].

Microarray Datasets were Downloaded from:

GEO (Hypertext Transfer Protocol://World Wide Web.ncbi.nlm.nih.gov/geo/) TAIR (Hypertext Transfer Protocol://World Wide Web.arabidopsis.org/).

Proprietary microarray data (See WO2008/122980) and Examples 2-9 below.

QTL and SNPs Information

Gramene [Hypertext Transfer Protocol://World Wide Web (dot) gramene (dot) org/qtl/].

Panzea [Hypertext Transfer Protocol://World Wide Web (dot) panzea (dot) org/index (dot) html].

Database Assembly—was performed to build a wide, rich, reliable annotated and easy to analyze database comprised of publicly available genomic mRNA, ESTs DNA sequences, data from various crops as well as gene expression, protein annotation and pathway data QTLs, and other relevant information.

Database assembly is comprised of a toolbox of gene refining, structuring, annotation and analysis tools enabling to construct a tailored database for each gene discovery project. Gene refining and structuring tools enable to reliably detect splice variants and antisense transcripts, generating understanding of various potential phenotypic outcomes of a single gene. The capabilities of the “LEADS” platform of Compugen LTD for analyzing human genome have been confirmed and accepted by the scientific community [see e.g., “Widespread Antisense Transcription”, Yelin, et al. (2003) Nature Biotechnology 21, 379-85; “Splicing of Alu Sequences”, Lev-Maor, et al. (2003) Science 300 (5623), 1288-91; “Computational analysis of alternative splicing using EST tissue information”, Xie H et al. Genomics 2002], and have been proven most efficient in plant genomics as well.

EST clustering and gene assembly—For gene clustering and assembly of organisms with available genome sequence data (arabidopsis, rice, castorbean, grape, brachypodium, poplar, soybean, sorghum) the genomic LEADS version (GANG) was employed. This tool allows most accurate clustering of ESTs and mRNA sequences on genome, and predicts gene structure as well as alternative splicing events and anti-sense transcription.

For organisms with no available full genome sequence data, “expressed LEADS” clustering software was applied.

Gene annotation—Predicted genes and proteins were annotated as follows: Blast search [Hypertext Transfer Protocol://blast (dot) ncbi (dot) nlm (dot) nih (dot) gov/Blast (dot) cgi] against all plant UniProt [Hypertext Transfer Protocol://World Wide Web (dot) uniprot (dot) org/] sequences was performed. Open reading frames of each putative transcript were analyzed and longest ORF with higher number of homologues was selected as predicted protein of the transcript. The predicted proteins were analyzed by InterPro [Hypertext Transfer Protocol://World Wide Web (dot) ebi (dot) ac (dot) uk/interpro/].

Blast against proteins from AraCyc and ENZYME databases was used to map the predicted transcripts to AraCyc pathways.

Predicted proteins from different species were compared using blast algorithm [Hypertext Transfer Protocol://World Wide Web (dot) ncbi (dot) nlm (dot) nih (dot) gov/Blast (dot) cgi] to validate the accuracy of the predicted protein sequence, and for efficient detection of orthologs.

Gene expression profiling—Several data sources were exploited for gene expression profiling which combined microarray data and digital expression profile (see below). According to gene expression profile, a correlation analysis was performed to identify genes which are co-regulated under different developmental stages and environmental conditions and which are associated with different phenotypes.

Publicly available microarray datasets were downloaded from TAR and NCBI GEO sites, renormalized, and integrated into the database. Expression profiling is one of the most important resource data for identifying genes important for yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

A digital expression profile summary was compiled for each cluster according to all keywords included in the sequence records comprising the cluster. Digital expression, also known as electronic Northern Blot, is a tool that displays virtual expression profile based on the EST sequences forming the gene cluster. The tool provides the expression profile of a cluster in terms of plant anatomy (e.g., the tissue/organ in which the gene is expressed), developmental stage (e.g., the developmental stages at which a gene can be found/expressed) and profile of treatment (provides the physiological conditions under which a gene is expressed such as drought, cold, pathogen infection, etc). Given a random distribution of ESTs in the different clusters, the digital expression provides a probability value that describes the probability of a cluster having a total of N ESTs to contain X ESTs from a certain collection of libraries. For the probability calculations, the following is taken into consideration: a) the number of ESTs in the cluster, b) the number of ESTs of the implicated and related libraries, c) the overall number of ESTs available representing the species. Thereby clusters with low probability values are highly enriched with ESTs from the group of libraries of interest indicating a specialized expression.

Recently, the accuracy of this system was demonstrated by Portnoy et al., 2009 (Analysis Of The Melon Fruit Transcriptome Based On 454 Pyrosequencing) in: Plant & Animal Genomes XVII Conference, San Diego, Calif. Transcriptomic analysis, based on relative EST abundance in data was performed by 454 pyrosequencing of cDNA representing mRNA of the melon fruit. Fourteen double strand cDNA samples obtained from two genotypes, two fruit tissues (flesh and rind) and four developmental stages were sequenced. GS FLX pyrosequencing (Roche/454 Life Sciences) of non-normalized and purified cDNA samples yielded 1,150,657 expressed sequence tags that assembled into 67,477 unigenes (32,357 singletons and 35,120 contigs). Analysis of the data obtained against the Cucurbit Genomics Database [Hypertext Transfer Protocol://World Wide Web (dot) icugi (dot) org/] confirmed the accuracy of the sequencing and assembly. Expression patterns of selected genes fitted well their qRT-PCR data.

Example 2

Production of Arabidopsis Transcriptome and High Throughput Correlation Analysis of Yield, Biomass and/or Vigor Related Parameters Using 44K Arabidopsis Full Genome Oligonucleotide Micro-Array

To produce a high throughput correlation analysis, the present inventors utilized an Arabidopsis thaliana oligonucleotide micro-array, produced by Agilent Technologies [Hypertext Transfer Protocol://World Wide Web (dot) chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 40,000 A. thaliana genes and transcripts designed based on data from the TIGR ATH1 v.5 database and Arabidopsis MPSS (University of Delaware) databases. To define correlations between the levels of RNA expression and yield, biomass components or vigor related parameters, various plant characteristics of 15 different Arabidopsis ecotypes were analyzed. Among them, nine ecotypes encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [Hypertext Transfer Protocol://World Wide Web (dot) davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

Analyzed Arabidopsis tissues—Five tissues at different developmental stages including root, leaf, flower at anthesis, seed at 5 days after flowering (DAF) and seed at 12 DAF, representing different plant characteristics, were sampled and RNA was extracted as described hereinabove under “GENERAL EXPERIMENTAL AND BIOINFORMATICS METHODS”. For convenience, each micro-array expression information tissue type has received a Set ID as summarized in Table 1 below.

TABLE 1 Tissues used for Arabidopsis transcriptome expression sets Expression Set Set ID Leaf 1 Root 2 Seed 5DAF 3 Flower at anthesis 4 Seed 12DAF 5 Table 1: Provided are the identification (ID) digits of each of the Arabidopsis expression sets (1-5). DAF = days after flowering.

Yield components and vigor related parameters assessment—Eight out of the nine Arabidopsis ecotypes were used in each of 5 repetitive blocks (named A, B, C, D and E), each containing 20 plants per plot. The plants were grown in a greenhouse at controlled conditions in 22° C., and the N:P:K fertilizer (20:20:20; weight ratios) [nitrogen (N), phosphorus (P) and potassium (K)] was added. During this time data was collected, documented and analyzed. Additional data was collected through the seedling stage of plants grown in a tissue culture in vertical grown transparent agar plates. Most of chosen parameters were analyzed by digital imaging.

Digital imaging in Tissue culture—A laboratory image acquisition system was used for capturing images of plantlets sawn in square agar plates. The image acquisition system consists of a digital reflex camera (Canon EOS 300D) attached to a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which included 4 light units (4×150 Watts light bulb) and located in a darkroom.

Digital imaging in Greenhouse—The image capturing process was repeated every 3-4 days starting at day 7 till day 30. The same camera attached to a 24 mm focal length lens (Canon EF series), placed in a custom made iron mount, was used for capturing images of larger plants sawn in white tubs in an environmental controlled greenhouse. The white tubs were square shape with measurements of 36×26.2 cm and 7.5 cm deep. During the capture process, the tubs were placed beneath the iron mount, while avoiding direct sun light and casting of shadows. This process was repeated every 3-4 days for up to 30 days.

An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing program, which was developed at the U.S National Institutes of Health and is freely available on the internet at Hypertext Transfer Protocol://rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 6 Mega Pixels (3072×2048 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Leaf analysis—Using the digital analysis leaves data was calculated, including leaf number, area, perimeter, length and width. On day 30, 3-4 representative plants were chosen from each plot of blocks A, B and C. The plants were dissected, each leaf was separated and was introduced between two glass trays, a photo of each plant was taken and the various parameters (such as leaf total area, laminar length etc.) were calculated from the images. The blade circularity was calculated as laminar width divided by laminar length.

Root analysis—During 17 days, the different ecotypes were grown in transparent agar plates. The plates were photographed every 3 days starting at day 7 in the photography room and the roots development was documented (see examples in FIGS. 3A-3F). The growth rate of roots was calculated according to Formula V. Growth rate of root coverage=Regression coefficient of root coverage along time course.  Formula V:

Vegetative growth rate analysis—was calculated according to Formula VI. The analysis was ended with the appearance of overlapping plants. Vegetative growth rate area=Regression coefficient of vegetative area along time course.  Formula VI

For comparison between ecotypes the calculated rate was normalized using plant developmental stage as represented by the number of true leaves. In cases where plants with 8 leaves had been sampled twice (for example at day 10 and day 13), only the largest sample was chosen and added to the Anova comparison.

Seeds in siliques analysis—On day 70, 15-17 siliques were collected from each plot in blocks D and E. The chosen siliques were light brown color but still intact. The siliques were opened in the photography room and the seeds were scatter on a glass tray, a high resolution digital picture was taken for each plot. Using the images the number of seeds per silique was determined.

Seeds average weight—At the end of the experiment all seeds from plots of blocks A-C were collected. An average weight of 0.02 grams was measured from each sample, the seeds were scattered on a glass tray and a picture was taken. Using the digital analysis, the number of seeds in each sample was calculated.

Oil percentage in seeds—At the end of the experiment all seeds from plots of blocks A-C were collected. Columbia seeds from 3 plots were mixed grounded and then mounted onto the extraction chamber. 210 ml of n-Hexane (Cat No. 080951 Biolab Ltd.) were used as the solvent. The extraction was performed for 30 hours at medium heat 50° C. Once the extraction has ended the n-Hexane was evaporated using the evaporator at 35° C. and vacuum conditions. The process was repeated twice. The information gained from the Soxhlet extractor (Soxhlet, F. Die gewichtsanalytische Bestimmung des Milchfettes, Polytechnisches J. (Dingler's) 1879, 232, 461) was used to create a calibration curve for the Low Resonance NMR. The content of oil of all seed samples was determined using the Low Resonance NMR (MARAN Ultra-Oxford Instrument) and its MultiQuant sowftware package.

Silique length analysis—On day 50 from sowing, 30 siliques from different plants in each plot were sampled in block A. The chosen siliques were green-yellow in color and were collected from the bottom parts of a grown plant's stem. A digital photograph was taken to determine silique's length.

Dry weight and seed yield—On day 80 from sowing, the plants from blocks A-C were harvested and left to dry at 30° C. in a drying chamber. The biomass and seed weight of each plot was separated, measured and divided by the number of plants. Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 30° C. in a drying chamber; Seed yield per plant=total seed weight per plant (gr).

Oil yield—The oil yield was calculated using Formula VII. Seed Oil yield=Seed yield per plant (gr.)*Oil % in seed.  Formula VII:

Harvest Index (seed)—The harvest index was calculated using Formula IV (described above): Harvest Index=Average seed yield per plant/Average dry weight.

Experimental Results

Nine different Arabidopsis ecotypes were grown and characterized for 18 parameters (named as vectors).

TABLE 2 Arabidopsis correlated parameters (vectors) Correlated parameter with Correlation ID Seeds per silique (number) 1 Harvest Index (value) 2 seed yield per plant (gr) 3 Dry matter per plant (gr) 4 Total Leaf Area per plant (cm²) 5 Oil % per seed (percent) 6 Oil yield per plant (mg) 7 relative root growth (cm/day) 8 root length day 7 (cm) 9 root length day 13 (cm) 10 fresh weight (gr) 11 seed weight (gr) 12 Vegetative growth rate (cm²/day) 13 Lamina length (cm) 14 Lamina width(cm) 15 Leaf width/length (ratio) 16 Blade circularity 17 Silique length (cm) 18 Table 2. Provided are the Arabidopsis correlated parameters (correlation ID Nos. 1-18). Abbreviations: Cm = centimeter(s); gr = gram(s); mg = milligram(s).

The characterized values are summarized in Table 3 below.

TABLE 3 Measured parameters in Arabidopsis ecotypes Trait Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 Line-8 Line-9 1 45.44 53.47 58.47 35.27 48.56 37.00 39.38 40.53 25.53 2 0.53 0.35 0.56 0.33 0.37 0.32 0.45 0.51 0.41 3 0.34 0.44 0.59 0.42 0.61 0.43 0.36 0.62 0.55 4 0.64 1.27 1.05 1.28 1.69 1.34 0.81 1.21 1.35 5 46.86 109.89 58.36 56.80 114.66 110.82 88.49 121.79 93.04 6 34.42 31.19 38.05 27.76 35.49 32.91 31.56 30.79 34.02 7 118.63 138.73 224.06 116.26 218.27 142.11 114.15 190.06 187.62 8 0.63 0.66 1.18 1.09 0.91 0.77 0.61 0.70 0.78 9 0.94 1.76 0.70 0.73 0.99 1.16 1.28 1.41 1.25 10 4.42 8.53 5.62 4.83 5.96 6.37 5.65 7.06 7.04 11 1.51 3.61 1.94 2.08 3.56 4.34 3.47 3.48 3.71 12 0.02 0.02 0.03 0.03 0.02 0.03 0.02 0.02 0.02 13 0.31 0.38 0.48 0.47 0.43 0.64 0.43 0.38 0.47 14 2.77 3.54 3.27 3.78 3.69 4.60 3.88 3.72 4.15 15 1.38 1.70 1.46 1.37 1.83 1.65 1.51 1.82 1.67 16 0.35 0.29 0.32 0.26 0.36 0.27 0.30 0.34 0.31 17 0.51 0.48 0.45 0.37 0.50 0.38 0.39 0.49 0.41 18 1.06 1.26 1.31 1.47 1.24 1.09 1.18 1.18 1.00 Table 3. Provided are the values of each of the parameters measured in Arabidopsis ecotypes: 3 = Seed yield per plant (gram); 7 = oil yield per plant (mg); 6 = oil % per seed; 12 = 1000 seed weight (gr); 4 = dry matter per plant (gr); 2 = harvest index; 5 = total leaf area per plant (cm); 1 = seeds per silique; 18 = Silique length (cm); 13 = Vegetative growth rate (cm²/day) until 8 true leaves; 8 = relative root growth (cm/day) (day 13); 9 = Root length day 7 (cm); 10 = Root length day 13 (cm); 11 = fresh weight per plant (gr.) at bolting stage; 14. = Lamina length (cm); 15 = Lamina width (cm); 16 = Leaf width/length; 17 = Blade circularity.

TABLE 4 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal conditions across Arabidopsis accessions Corr. Corr. Gene Set Set Gene Set Set Name R P value ID ID Name R P value ID ID LYD521 0.85 1.65E−02 2 3 LYD521 0.81 2.73E−02 2 6 LYD521 0.89 6.63E−03 2 7 LYD521 0.84 1.88E−02 2 8 LYD522 0.76 2.72E−02 5 5 LYD522 0.75 3.22E−02 5 14 LYD522 0.83 1.02E−02 5 11 LYD522 0.71 5.02E−02 5 13 LYD524 0.70 5.28E−02 3 3 LYD525 0.84 8.98E−03 1 18 LYD525 0.86 6.06E−03 5 2 LYD526 0.72 4.42E−02 3 3 LYD526 0.76 2.90E−02 3 8 LYD526 0.71 5.06E−02 5 3 LYD526 0.74 3.61E−02 5 7 LYD526 0.75 3.09E−02 5 8 LYD527 0.75 5.37E−02 2 16 LYD527 0.73 3.81E−02 5 1 LYD527 0.72 4.43E−02 5 8 LYD528 0.70 7.84E−02 2 15 LYD528 0.76 4.65E−02 2 5 LYD529 0.80 1.69E−02 1 16 LYD529 0.76 4.77E−02 2 2 LYD529 0.77 2.48E−02 3 15 LYD529 0.71 4.92E−02 3 5 LYD529 0.78 2.21E−02 3 3 LYD529 0.71 5.06E−02 5 2 LYD529 0.74 3.74E−02 4 2 LYD530 0.71 4.99E−02 1 10 LYD530 0.72 6.54E−02 2 1 LYD530 0.78 3.97E−02 2 18 LYD530 0.84 1.92E−02 2 8 LYD530 0.75 3.35E−02 3 1 LYD530 0.73 3.78E−02 5 1 LYD530 0.88 3.71E−03 4 1 LYD531 0.70 7.71E−02 2 9 LYD531 0.72 4.55E−02 5 6 LYD531 0.70 5.19E−02 5 7 LYD533 0.77 4.43E−02 2 17 LYD533 0.73 4.13E−02 5 15 LYD533 0.74 3.63E−02 4 1 LYD533 0.80 1.66E−02 4 17 LYD534 0.78 2.38E−02 1 10 LYD534 0.87 1.01E−02 2 3 LYD534 0.85 1.47E−02 2 7 LYD534 0.70 7.86E−02 2 8 LYD534 0.74 3.65E−02 3 15 LYD534 0.77 2.53E−02 3 3 LYD534 0.74 3.49E−02 3 7 LYD534 0.74 3.65E−02 5 18 LYD534 0.71 4.97E−02 5 8 LYD535 0.82 1.33E−02 1 1 LYD535 0.85 7.25E−03 3 8 LYD535 0.89 3.39E−03 5 14 LYD535 0.72 4.50E−02 5 13 LYD536 0.74 3.58E−02 3 6 LYD536 0.74 3.70E−02 5 8 LYD536 0.85 7.90E−03 4 8 Table 4. Provided are the correlations (R) between the expression levels of yield improving genes and their homologues in tissues [leaf, flower, seed and root; Expression sets (Exp)] and the phenotypic performance in various yield, biomass, growth rate and/or vigor components [Correlation vector (corr.)] under stress conditions or normal conditions across Arabidopsis accessions. P = p value.

Example 3

Production of Arabidopsis Transcriptome and High Throughput Correlation Analysis of Normal and Nitrogen Limiting Conditions Using 44K Arabidopsis Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis, the present inventors utilized an Arabidopsis oligonucleotide micro-array, produced by Agilent Technologies [Hypertext Transfer Protocol://World Wide Web (dot) chem (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 44,000 Arabidopsis genes and transcripts. To define correlations between the levels of RNA expression with NUE, yield components or vigor related parameters various plant characteristics of 14 different Arabidopsis ecotypes were analyzed. Among them, ten ecotypes encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [Hypertext Transfer Protocol://World Wide Web (dot) davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

Two tissues of plants [leaves and stems] growing at two different nitrogen fertilization levels (1.5 mM Nitrogen or 6 mM Nitrogen) were sampled and RNA was extracted as described hereinabove under “GENERAL EXPERIMENTAL AND BIOINFORMATICS METHODS”. For convenience, each micro-array expression information tissue type has received a Set ID as summarized in Table 5 below.

TABLE 5 Tissues used for Arabidopsis transcriptome expression sets Expression Set Set ID Leaves at 1.5 mM Nitrogen fertilization 1 Stems at 6 mM Nitrogen fertilization 2 Leaves at 6 mM Nitrogen fertilization 3 Stems at 1.5 mM Nitrogen fertilization 4 Table 5: Provided are the identification (ID) digits of each of the Arabidopsis expression sets.

Assessment of Arabidopsis yield components and vigor related parameters under different nitrogen fertilization levels—10 Arabidopsis accessions in 2 repetitive plots each containing 8 plants per plot were grown at greenhouse. The growing protocol used was as follows: surface sterilized seeds were sown in Eppendorf tubes containing 0.5× Murashige-Skoog basal salt medium and grown at 23° C. under 12-hour light and 12-hour dark daily cycles for 10 days. Then, seedlings of similar size were carefully transferred to pots filled with a mix of perlite and peat in a 1:1 ratio. Constant nitrogen limiting conditions were achieved by irrigating the plants with a solution containing 1.5 mM inorganic nitrogen in the form of KNO₃, supplemented with 2 mM CaCl₂, 1.25 mM KH₂PO₄, 1.50 mM MgSO₄, 5 mM KCl, 0.01 mM H₃B₀₃ and microelements, while normal irrigation conditions (Normal Nitrogen conditions) was achieved by applying a solution of 6 mM inorganic nitrogen also in the form of KNO₃, supplemented with 2 mM CaCl₂, 1.25 mM KH₂PO₄, 1.50 mM MgSO₄, 0.01 mM H₃B₀₃ and microelements. To follow plant growth, trays were photographed the day nitrogen limiting conditions were initiated and subsequently every 3 days for about 15 additional days. Rosette plant area was then determined from the digital pictures. ImageJ software was used for quantifying the plant size from the digital pictures [Hypertext Transfer Protocol://rsb (dot) info (dot) nih (dot) gov/ij/] utilizing proprietary scripts designed to analyze the size of rosette area from individual plants as a function of time. The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [Hypertext Transfer Protocol://rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Data parameters collected are summarized in Table 6, herein below.

TABLE 6 Arabidopsis correlated parameters (vectors) Correlated parameter with Correlation ID N 6 mM; Seed Yield [gr./plant] 1 N 6 mM; Harvest Index 2 N 6 mM; 1000 Seeds weight [gr.] 3 N 6 mM; seed yield/rosette area day at day 10 [gr./cm²] 4 N 6 mM; seed yield/leaf blade area [gr./cm²] 5 N 1.5 mM; Rosette Area at day 8 [cm²] 6 N 1.5 mM; Rosette Area at day 10 [cm²] 7 N 1.5 mM; Leaf Number at day 10 8 N 1.5 mM; Leaf Blade Area at day 10 [cm²] 9 N 1.5 mM; RGR of Rosette Area at day 3 [cm²/day] 10 N 1.5 mM; t50 Flowering [day] 11 N 1.5 mM; Dry Weight [gr./plant] 12 N 1.5 mM; Seed Yield [gr./plant] 13 N 1.5 mM; Harvest Index 14 N 1.5 mM; 1000 Seeds weight [gr.] 15 N 1.5 mM; seed yield/rosette area at day 10 [gr./cm²] 16 N 1.5 mM; seed yield/leaf blade area [gr./cm²] 17 N 1.5 mM; % Seed yield reduction compared to N 6 mM 18 N 1.5 mM; % Biomass reduction compared to N 6 mM 19 N 6 mM; Rosette Area at day 8 [cm²] 20 N 6 mM; Rosette Area at day 10 [cm²] 21 N 6 mM; Leaf Number at day 10 22 N 6 mM; Leaf Blade Area at day 10 23 N 6 mM; RGR of Rosette Area at day 3 [cm²/gr.] 24 N 6 mM; t50 Flowering [day] 25 N 6 mM; Dry Weight [gr./plant] 26 N 6 mM; N level/DW (SPAD unit/gr. plant) 27 N 6 mM; DW/N level [gr./SPAD unit] 28 N 6 mM; N level/FW 29 N 6 mM; Seed yield/N unit [gr./SPAD unit] 30 N 1.5 mM; N level/FW [SPAD unit/gr.] 31 N 1.5 mM; N level/DW [SPAD unit/gr.] 32 N 1.5 mM; DW/N level [gr/SPAD unit] 33 N 1.5 mM; seed yield/N level [gr/SPAD unit] 34 Table 6. Provided are the Arabidopsis correlated parameters (vectors). “N” = Nitrogen at the noted concentrations; “gr.” = grams; “SPAD” = chlorophyll levels; “t50” = time where 50% of plants flowered; “gr./SPAD unit” = plant biomass expressed in grams per unit of nitrogen in plant measured by SPAD. “DW” = Plant Dry Weight; “FW” = Plant Fresh weight; “N level/DW” = plant Nitrogen level measured in SPAD unit per plant biomass [gr.]; “DW/N level” = plant biomass per plant [gr.]/SPAD unit; Rosette Area (measured using digital analysis); Plot Coverage at the indicated day [%](calculated by the dividing the total plant area with the total plot area); Leaf Blade Area at the indicated day [cm²] (measured using digital analysis); RGR (relative growth rate) of Rosette Area at the indicated day [cm²/day]; t50 Flowering [day[ (the day in which 50% of plant flower); seed yield/rosette area at day 10 [gr/cm²] (calculated); seed yield/leaf blade [gr/cm²] (calculated); seed yield/N level [gr/SPAD unit] (calculated).

Assessment of NUE, yield components and vigor-related parameters—Ten Arabidopsis ecotypes were grown in trays, each containing 8 plants per plot, in a greenhouse with controlled temperature conditions for about 12 weeks. Plants were irrigated with different nitrogen concentration as described above depending on the treatment applied. During this time, data was collected documented and analyzed. Most of chosen parameters were analyzed by digital imaging.

Digital Imaging—Greenhouse Assay

An image acquisition system, which consists of a digital reflex camera (Canon EOS 400D) attached with a 55 mm focal length lens (Canon EF-S series) placed in a custom made Aluminum mount, was used for capturing images of plants planted in containers within an environmental controlled greenhouse. The image capturing process is repeated every 2-3 days starting at day 9-12 till day 16-19 (respectively) from transplanting.

The image processing system which was used is described in Example 4 above. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Leaf analysis—Using the digital analysis leaves data was calculated, including leaf number, leaf blade area, plot coverage, Rosette diameter and Rosette area.

Relative growth rate area: The relative growth rate area of the rosette and the leaves was calculated according to Formulas VIII and IX, respectively. Growth rate of rosette area=Regression coefficient of rosette area along time course.  Formula VIII: Growth rate of plant leaf number=Regression coefficient of plant leaf number along time course.  Formula IX

Seed yield and 1000 seeds weight—At the end of the experiment all seeds from all plots were collected and weighed in order to measure seed yield per plant in terms of total seed weight per plant (gr.). For the calculation of 1000 seed weight, an average weight of 0.02 grams was measured from each sample, the seeds were scattered on a glass tray and a picture was taken. Using the digital analysis, the number of seeds in each sample was calculated.

Dry weight and seed yield—At the end of the experiment, plant were harvested and left to dry at 30° C. in a drying chamber. The biomass was separated from the seeds, weighed and divided by the number of plants. Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 30° C. in a drying chamber.

Harvest index (seed)—The harvest index was calculated using Formula IV as described above [Harvest Index=Average seed yield per plant/Average dry weight].

T₅₀ days to flowering—Each of the repeats was monitored for flowering date. Days of flowering was calculated from sowing date till 50% of the plots flowered.

Plant nitrogen level—The chlorophyll content of leaves is a good indicator of the nitrogen plant status since the degree of leaf greenness is highly correlated to this parameter. Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot. Based on this measurement, parameters such as the ratio between seed yield per nitrogen unit [seed yield/N level=seed yield per plant [gr.]/SPAD unit], plant DW per nitrogen unit [DW/N level=plant biomass per plant [gr.]/SPAD unit], and nitrogen level per gram of biomass [N level/DW=SPAD unit/plant biomass per plant (gr.)] were calculated.

Percent of seed yield reduction—measures the amount of seeds obtained in plants when grown under nitrogen-limiting conditions compared to seed yield produced at normal nitrogen levels expressed in percentages (%).

Experimental Results

10 different Arabidopsis accessions (ecotypes) were grown and characterized for 37 parameters as described above. The average for each of the measured parameters was calculated using the JMP software (Table 7 below). Subsequent correlation analysis between the various transcriptome sets (Table 5) and the average parameters were conducted.

TABLE 7 Measured parameters in Arabidopsis accessions Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 Line-8 Line-9 Line-10 1 0.12 0.17 0.11 0.08 0.12 0.14 0.11 0.14 0.09 0.07 2 0.28 0.31 0.28 0.16 0.21 0.28 0.17 0.21 0.17 0.14 3 0.01 0.02 0.02 0.01 0.02 0.02 0.01 0.02 0.02 0.02 4 0.08 0.11 0.04 0.03 0.06 0.06 0.06 0.05 0.06 0.03 5 0.34 0.53 0.21 0.18 0.28 0.28 0.25 0.27 0.24 0.16 6 0.76 0.71 1.06 1.16 1.00 0.91 0.94 1.12 0.64 1.00 7 1.43 1.33 1.77 1.97 1.83 1.82 1.64 2.00 1.15 1.75 8 6.88 7.31 7.31 7.88 7.75 7.63 7.19 8.63 5.93 7.94 9 0.33 0.27 0.37 0.39 0.37 0.39 0.35 0.38 0.31 0.37 10 0.63 0.79 0.50 0.49 0.72 0.83 0.65 0.67 0.64 0.61 11 15.97 20.97 14.84 24.71 23.70 18.06 19.49 23.57 21.89 23.57 12 0.16 0.12 0.08 0.11 0.12 0.13 0.11 0.15 0.17 0.18 13 0.03 0.03 0.02 0.01 0.01 0.03 0.02 0.01 0.01 0.01 14 0.19 0.20 0.29 0.08 0.07 0.24 0.18 0.08 0.08 0.03 15 0.02 0.02 0.02 0.01 0.02 0.01 0.01 0.02 0.02 0.02 16 0.02 0.02 0.01 0.01 0.00 0.02 0.01 0.01 0.01 0.00 17 0.09 0.09 0.06 0.03 0.02 0.08 0.06 0.03 0.04 0.01 18 72.56 84.70 78.78 88.00 92.62 76.71 81.94 91.30 85.76 91.82 19 60.75 76.71 78.56 78.14 78.64 73.19 83.07 77.19 70.12 62.97 20 0.76 0.86 1.48 1.28 1.10 1.24 1.09 1.41 0.89 1.22 21 1.41 1.57 2.67 2.42 2.14 2.47 1.97 2.72 1.64 2.21 22 6.25 7.31 8.06 8.75 8.75 8.38 7.13 9.44 6.31 8.06 23 0.34 0.31 0.52 0.45 0.43 0.50 0.43 0.51 0.41 0.43 24 0.69 1.02 0.61 0.60 0.65 0.68 0.58 0.61 0.52 0.48 25 16.37 20.50 14.63 24.00 23.60 15.03 19.75 22.89 18.80 23.38 26 0.42 0.53 0.38 0.52 0.58 0.50 0.63 0.65 0.57 0.50 27 22.49 28.27 33.32 39.00 17.64 28 0.02 0.02 0.02 0.01 0.03 29 53.71 54.62 66.48 68.05 35.55 30 0.00 0.00 0.01 0.00 0.00 31 45.59 42.11 53.11 67.00 28.15 32 167.30 241.06 194.98 169.34 157.82 33 0.01 0.00 0.01 0.01 0.01 34 0.00 0.00 0.00 0.00 0.00 Table 7. Provided are the measured parameters under various treatments in various ecotypes (Arabidopsis accessions).

TABLE 8 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal or abiotic stress conditions across Arabidopsis accessions Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LYD522 0.72 2.88E−02 2 22 LYD522 0.77 1.50E−02 2 21 LYD522 0.74 2.24E−02 2 7 LYD522 0.70 3.46E−02 2 23 LYD522 0.77 8.54E−03 3 1 LYD524 0.77 9.08E−03 1 2 LYD524 0.74 2.21E−02 2 2 LYD524 0.87 1.19E−03 4 2 LYD524 0.85 2.01E−03 4 1 LYD525 0.80 5.42E−03 1 22 LYD525 0.73 1.60E−02 1 20 LYD525 0.85 1.68E−03 1 6 LYD525 0.75 1.28E−02 1 21 LYD525 0.83 3.18E−03 1 7 LYD525 0.70 3.49E−02 2 3 LYD526 0.75 1.28E−02 1 20 LYD526 0.73 1.70E−02 1 9 LYD526 0.73 1.58E−02 1 23 LYD527 0.71 2.24E−02 1 2 LYD527 0.78 8.40E−03 1 14 LYD527 0.72 1.87E−02 4 14 LYD529 0.72 2.00E−02 3 19 LYD531 0.72 1.84E−02 1 11 LYD531 0.76 1.16E−02 1 25 LYD531 0.86 1.51E−03 1 18 LYD533 0.77 8.61E−03 1 11 LYD533 0.88 8.25E−04 1 25 LYD533 0.80 5.35E−03 1 18 LYD535 0.72 1.93E−02 3 8 LYD536 0.74 1.46E−02 1 2 LYD536 0.73 1.75E−02 1 16 LYD536 0.88 7.61E−04 1 4 LYD536 0.76 1.04E−02 1 17 LYD536 0.86 1.36E−03 1 5 LYD536 0.82 4.02E−03 1 24 Table 8. Provided are the correlations (R) between the expression levels of yield improving genes and their homologues in tissues [Leaves or stems; Expression sets (Exp)] and the phenotypic performance in various yield, biomass, growth rate and/or vigor components [Correlation vector (corr.)] under stress conditions or normal conditions across Arabidopsis accessions. P = p value.

Example 4

Production of Tomato Transcriptome and High Throughput Correlation Analysis Using 44K Tomato Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis between NUE related phenotypes and gene expression, the present inventors utilized a Tomato oligonucleotide micro-array, produced by Agilent Technologies [Hypertext Transfer Protocol://World Wide Web (dot) chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 44,000 Tomato genes and transcripts. In order to define correlations between the levels of RNA expression with NUE, ABST, yield components or vigor related parameters various plant characteristics of 18 different Tomato varieties were analyzed. Among them, 10 varieties encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [Hypertext Transfer Protocol://World Wide Web (dot) davidmlane (dot) com/hyperstat/A34739 (dot) html].

Correlation of Tomato Varieties Across Ecotypes Grown Under Low Nitrogen, Drought and Regular Growth Conditions

Experimental Procedures:

10 Tomato varieties were grown in 3 repetitive blocks, each containing 6 plants per plot were grown at net house. Briefly, the growing protocol was as follows:

1. Regular growth conditions: Tomato varieties were grown under normal conditions (4-6 Liters/m² of water per day and fertilized with NPK as recommended in protocols for commercial tomato production).

2. Low nitrogen fertilization conditions: Tomato varieties were grown under normal conditions (4-6 Liters/m² per day and fertilized with NPK as recommended in protocols for commercial tomato production) until flower stage. At this time, Nitrogen fertilization was stopped.

3. Drought stress: Tomato variety was grown under normal conditions (4-6 Liters/m² per day) until flower stage. At this time, irrigation was reduced to 50% compared to normal conditions. Plants were phenotyped on a daily basis following the standard descriptor of tomato (Table 10). Harvest was conducted while 50% of the fruits were red (mature). Plants were separated to the vegetative part and fruits, of them, 2 nodes were analyzed for additional inflorescent parameters such as size, number of flowers, and inflorescent weight. Fresh weight of all vegetative material was measured. Fruits were separated to colors (red vs. green) and in accordance with the fruit size (small, medium and large). Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute). Data parameters collected are summarized in Tables 11-13, herein below.

Analyzed Tomato tissues—Two tissues at different developmental stages [flower and leaf], representing different plant characteristics, were sampled and RNA was extracted as described above. For convenience, each micro-array expression information tissue type has received a Set ID as summarized in Table 9 below.

TABLE 9 Tomato transcriptome expression sets Expression Set Set ID Leaf at reproductive stage under Low N conditions  1 + 10 Flower under normal conditions 5 + 2 Leaf at reproductive stage under normal conditions 8 + 3 Flower under drought conditions 9 + 7 Leaf at reproductive stage under drought conditions 11 + 4  Flower under Low N conditions 12 + 6  Table 9: Provided are the identification (ID) digits of each of the tomato expression sets.

Table 10 provides the tomato correlated parameters (Vectors). The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 11-13 below. Subsequent correlation analysis was conducted. Results were integrated to the database.

TABLE 10 Tomato correlated parameters (vectors) Correlated parameter with Correlation ID NUE [yield (gr)/SPAD] (Normal) 1 NUpE [biomass (gr)/SPAD] (Normal) 2 HI [yield/yield + biomass] (Normal) (ratio) 3 NUE2 [total biomass (gr)/SPAD] (Normal) 4 Total Leaf Area [cm²] (Normal) 5 Leaflet Length [cm] (Normal) 6 Leaflet Width (Normal) (cm) 7 100 weight green fruit (Normal) (gr) 8 100 weight red fruit (Normal) (gr) 9 SLA [leaf area/plant biomass] (Normal) (cm²/gr) 10 Yield/total leaf area (Normal) (gr/cm²) 11 Yield/SLA (Normal) gr²/cm² 12 Fruit Yield/Plant (Low N) (gr) 13 FW/Plant (Low N) (gr) 14 Average red fruit weight (Low N) (gr) 15 Fruit yield (Low N)/Fruit yield (Normal) (ratio) 16 FW (Low N)/FW (Normal) (ratio) 17 SPAD (Low N) (number) 18 RWC (Low N) (percentage) 19 SPAD 100% RWC (NUE) (number) 20 SPAD (Low N)/SPAD (Normal) (ratio) 21 SPAD 100% RWC (Low N)/SPAD 100% 22 RWC (Normal) (ratio) RWC (Low N)/RWC (Normal) (ratio) 23 Number of flowers ((Low N) (number) 24 Weight clusters (flowers) (Low N) (gr) 25 Number of Flowers (Low N)/Number of 26 Flowers (Normal) (ratio) Cluster Weight (Low N)/Cluster 27 Weight (Normal) (ratio) RWC Drought (percentage) 28 RWC Drought/RWC Normal (ratio) 29 Number of flowers (Drought) (number) 30 Weight flower clusters (Drought) (gr) 31 Number of Flower Drought/Normal (number) 32 Number of Flower Drought/Number of 33 Flower Drought (Low N) (ratio) flower cluster weight (Drought)/flower 34 cluster weight (Normal) (ratio) flower cluster weight Drought/flower 35 cluster weight (Low N) (ratio) Fruit Yield/Plant (Drought) (gr) 36 FW/Plant (Drought) (gr) 37 Average red fruit weight Drought (gr) 38 Fruit Yield (Drought)/Fruit Yield (Normal) (ratio) 39 Fruit (Drought)/Fruit (Low N) (ratio) 40 FW (drought)/FW Normal (ratio) 41 red fruit weight (Drought)/red fruit 42 weight (Normal) (ratio) Fruit yield/Plant (Normal) (gr) 43 FW/Plant (Normal) (gr) 44 average red fruit weight (Normal) (gr) 45 SPAD (Normal) (number) 46 RWC (Normal) (percentage) 47 SPAD 100% RWC (Normal) (number) 48 Number of flowers (Normal) (number) 49 Weight Flower clusters (Normal) (gr) 50 Total Leaf Area [cm²]) (Drought) 51 Leaflet Length [cm]) (Drought) 52 Leaflet Width [cm] (Drought) 53 100 weight green fruit (Drought) (gr) 54 100 weight red fruit (Drought) (gr) 55 NUE [yield (gr)/SPAD] (Low N) 56 NUpE [biomass (gr)/SPAD] (Low N) 57 HI [yield/yield + biomass] (Low N) (ratio) 58 NUE2 [total biomass (gr)/SPAD] (Low N) 59 Total Leaf Area [cm²] (Low N) 60 Leaflet Length [cm] (Low N) 61 Leaflet Width (Low N) (cm) 62 100 weight green fruit (Low N) (gr) 63 SLA [leaf area/plant biomass] (Low N) (cm²/gr) 64 Yield/total leaf area (Low N) (gr/cm²) 65 Yield/SLA (Low N) (gr²/cm²) 66 100 weight red fruit (Low N) (gr) 67 Table 10. Provided are the tomato correlated parameters, “gr.” = grams; “FW” = fresh weight; “NUE” = nitrogen use efficiency; “RWC” = relative water content; “NUpE” = nitrogen uptake efficiency; “SPAD” = chlorophyll levels (number); “HI” = harvest index (vegetative weight divided on yield); “SLA” = specific leaf area (leaf area divided by leaf dry weight), Treatment in the parenthesis.

Fruit Weight (grams)—At the end of the experiment [when 50% of the fruits were ripe (red)] all fruits from plots within blocks A-C were collected. The total fruits were counted and weighted. The average fruits weight was calculated by dividing the total fruit weight by the number of fruits.

Plant vegetative Weight (grams)—At the end of the experiment [when 50% of the fruit were ripe (red)] all plants from plots within blocks A-C were collected. Fresh weight was measured (grams).

Inflorescence Weight (grams)—At the end of the experiment [when 50% of the fruits were ripe (red)] two Inflorescence from plots within blocks A-C were collected. The Inflorescence weight (gr.) and number of flowers per inflorescence were counted.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

Water use efficiency (WUE)—can be determined as the biomass produced per unit transpiration. To analyze WUE, leaf relative water content was measured in control and transgenic plants. Fresh weight (FW) was immediately recorded; then leaves were soaked for 8 hours in distilled water at room temperature in the dark, and the turgid weight (TW) was recorded. Total dry weight (DW) was recorded after drying the leaves at 60° C. to a constant weight. Relative water content (RWC) was calculated according to the following Formula I [(FW−DW/TW−DW)×100] as described above.

Plants that maintain high relative water content (RWC) compared to control lines were considered more tolerant to drought than those exhibiting reduced relative water content.

Experimental Results

TABLE 11 Measured parameters in Tomato accessions (lines 1-6) Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 1 0.02 0.01 0.01 0.00 0.01 0.01 2 0.03 0.09 0.05 0.02 0.05 0.05 3 0.35 0.10 0.14 0.12 0.18 0.19 4 0.05 0.09 0.06 0.02 0.06 0.06 5 426.10 582.38 291.40 593.58 6 6.34 7.99 5.59 7.70 7 3.69 4.77 3.43 4.56 8 0.56 3.05 0.24 2.58 9 0.82 2.46 0.50 2.76 10 140.99 689.67 130.22 299.12 11 0.00 0.00 0.00 0.00 12 0.00 0.00 0.00 0.00 13 0.41 0.66 0.48 0.46 1.35 0.35 14 4.04 1.21 2.25 2.54 1.85 3.06 15 0.02 0.19 0.01 0.01 0.10 0.00 16 0.49 1.93 0.97 3.80 2.78 0.78 17 2.65 0.38 0.74 3.01 0.83 1.54 18 38.40 39.40 47.50 37.00 44.60 41.70 19 74.07 99.08 69.49 63.24 77.36 77.91 20 28.47 39.04 33.01 23.42 34.53 32.51 21 0.77 1.06 0.85 0.80 0.93 0.96 22 0.79 1.37 0.92 0.75 1.31 0.97 23 1.02 1.30 1.08 0.94 1.41 1.00 24 19.00 5.33 9.00 13.00 10.67 16.67 25 0.53 0.37 0.31 0.35 0.47 0.25 26 3.35 0.28 1.42 1.70 1.10 2.00 27 0.46 1.07 0.44 0.01 1.08 0.02 28 72.12 74.51 65.33 72.22 66.13 68.33 29 0.99 0.97 1.02 1.08 1.21 0.88 30 16.67 6.50 15.67 20.33 11.67 25.33 31 0.37 0.41 0.33 0.29 0.55 0.31 32 2.94 0.34 2.47 2.65 1.21 3.04 33 0.88 1.22 1.74 1.56 1.09 1.52 34 0.32 1.19 0.47 0.01 1.25 0.03 35 0.69 1.11 1.06 0.82 1.16 1.25 36 0.47 0.48 0.63 0.35 2.04 0.25 37 2.62 1.09 1.85 2.22 2.63 2.71 38 0.01 0.19 0.21 0.00 0.10 0.00 39 0.57 1.41 1.27 2.88 4.20 0.55 40 1.15 0.73 1.32 0.76 1.51 0.71 41 1.72 0.34 0.61 2.63 1.18 1.36 42 0.19 24.37 25.38 0.02 20.26 0.04 43 0.83 0.34 0.49 0.12 0.49 0.45 44 1.53 3.17 3.02 0.84 2.24 1.98 45 0.05 0.01 0.01 0.29 0.01 0.05 46 49.70 37.20 55.80 46.40 48.20 43.40 47 72.83 76.47 64.29 67.07 54.79 77.61 48 36.17 28.45 35.89 31.09 26.38 33.68 49 5.67 19.33 6.33 7.67 9.67 8.33 50 1.17 0.34 0.69 56.35 0.44 11.31 51 ND ND ND ND ND ND 52 ND ND ND ND ND ND 53 ND ND ND ND ND ND 54 ND ND ND ND ND ND 55 ND ND ND ND ND ND 56 0.01 0.02 0.01 0.02 0.04 0.01 57 0.14 0.03 0.07 0.11 0.05 0.09 58 0.09 0.35 0.18 0.15 0.42 0.10 59 0.16 0.05 0.08 0.13 0.09 0.11 60 565.93 384.77 294.83 378.00 476.39 197.08 61 6.40 5.92 3.69 5.43 6.95 3.73 62 3.47 1.97 1.79 2.55 3.52 1.73 63 0.87 3.66 0.57 0.37 3.40 0.68 64 140.04 317.12 131.29 148.82 257.51 64.34 65 0.00 0.00 0.00 0.00 0.00 0.00 66 0.00 0.00 0.00 0.00 0.01 0.01 67 1.06 6.87 0.65 0.53 7.17 0.44 Table 11. Provided are the values of each of the parameters (as described above) measured in tomato accessions (Seed ID) under all growth conditions. Growth conditions are specified in the experimental procedure section.

TABLE 12 Measured parameters in Tomato accessions (lines 7-12) Ecotype/ Treatment Line-7 Line-8 Line-9 Line-10 Line-11 Line-12 1 0.01 0.01 0.00 0.01 0.02 0.00 2 0.02 0.04 0.05 0.05 0.05 0.08 3 0.38 0.17 0.06 0.10 0.27 0.05 4 0.03 0.05 0.06 0.06 0.06 0.08 5 947.59 233.35 340.73 339.11 190.14 421.79 6 7.85 6.22 6.16 5.65 4.39 4.44 7 4.44 3.15 3.37 3.13 2.40 2.02 8 6.32 5.75 0.38 0.30 1.95 2.53 9 5.32 5.24 0.61 0.66 2.70 0.70 10 1117.74 111.77 106.29 123.14 104.99 111.88 11 0.00 0.00 0.00 0.00 0.00 0.00 12 0.00 0.00 0.00 0.00 0.01 0.00 13 0.01 0.51 0.44 0.47 1.59 0.39 14 3.13 2.54 1.84 1.52 1.91 1.86 15 0.01 0.01 0.01 0.01 0.02 0.01 16 0.02 1.16 2.07 1.51 2.41 2.06 17 3.70 1.22 0.58 0.55 1.06 0.49 18 34.40 50.00 44.70 53.70 35.70 58.80 19 80.49 67.40 67.16 66.07 69.57 69.30 20 27.66 33.68 30.04 35.50 24.81 40.77 21 0.80 0.94 0.76 1.05 0.89 1.24 22 1.11 0.95 0.79 0.92 0.94 1.36 23 1.38 1.01 1.04 0.88 1.05 1.10 24 6.00 16.00 15.00 6.00 17.00 13.00 25 0.29 0.47 0.40 0.30 0.82 0.40 26 1.20 1.92 1.50 0.86 1.89 1.63 27 0.37 0.81 0.55 0.36 0.95 0.80 28 78.13 18.46 73.21 62.50 67.21 75.76 29 1.34 0.28 1.13 0.83 1.01 1.20 30 29.73 17.33 14.67 29.67 15.00 10.33 31 0.45 0.56 0.30 0.31 0.31 0.31 32 5.95 2.08 1.47 4.24 1.67 1.29 33 4.96 1.08 0.98 4.94 0.88 0.79 34 0.56 0.96 0.42 0.38 0.36 0.62 35 1.52 1.19 0.76 1.04 0.38 0.78 36 0.05 0.45 0.29 1.02 0.60 0.49 37 3.41 2.11 1.95 1.76 1.72 1.92 38 0.03 0.01 0.01 0.00 0.01 0.01 39 0.09 1.03 1.39 3.28 0.91 2.62 40 5.06 0.89 0.67 2.17 0.38 1.27 41 4.02 1.01 0.61 0.64 0.95 0.51 42 0.15 0.02 0.86 0.74 0.09 1.72 43 0.53 0.44 0.21 0.31 0.66 0.19 44 0.85 2.09 3.21 2.75 1.81 3.77 45 0.23 0.29 0.01 0.01 0.06 0.01 46 42.90 53.30 58.50 51.10 40.00 47.60 47 58.18 66.51 64.71 75.25 66.23 63.21 48 24.98 35.47 37.87 38.43 26.49 30.07 49 5.00 8.33 10.00 7.00 9.00 8.00 50 0.79 0.58 0.73 0.83 0.86 0.50 51 ND ND ND ND ND 337.63 52 ND ND ND ND ND 5.15 53 ND ND ND ND ND 2.55 54 ND ND ND ND ND 0.80 55 ND ND ND ND ND 0.89 56 0.00 0.02 0.01 0.01 0.06 0.01 57 0.11 0.08 0.06 0.04 0.08 0.05 58 0.00 0.17 0.19 0.24 0.45 0.17 59 0.11 0.09 0.08 0.06 0.14 0.06 60 453.24 625.51 748.01 453.96 164.85 338.30 61 4.39 6.72 6.66 4.39 3.90 5.29 62 1.87 3.54 3.28 2.52 2.61 2.61 63 0.45 0.47 0.54 0.39 0.97 0.91 64 144.60 246.05 405.55 299.32 86.19 182.32 65 0.00 0.00 0.00 0.00 0.01 0.00 66 0.00 0.00 0.00 0.00 0.02 0.00 67 0.55 0.75 0.58 1.27 1.34 Table 12. Provided are the values of each of the parameters (as described above) measured in tomato accessions (Seed ID) under all growth conditions. Growth conditions are specified in the experimental procedure section.

TABLE 13 Measured parameters in Tomato accessions (lines 13-18) Ecotype/ Treatment Line-13 Line-14 Line-15 Line-16 Line-17 Line-18 1 0.01 0.01 0.01 0.01 0.01 0.00 2 0.03 0.04 0.05 0.03 0.07 0.04 3 0.31 0.12 0.14 0.17 0.09 0.11 4 0.05 0.05 0.06 0.04 0.08 0.04 5 581.33 807.51 784.06 351.80 255.78 1078.10 6 6.77 7.42 6.71 5.87 4.16 10.29 7 3.80 3.74 2.98 3.22 2.09 5.91 8 1.42 2.03 1.39 2.27 0.45 0.42 9 2.64 4.67 2.17 0.49 0.34 0.75 10 307.95 419.37 365.81 212.93 84.94 469.87 11 0.00 0.00 0.00 0.00 0.00 0.00 12 0.00 0.00 0.00 0.00 0.00 0.00 13 0.32 0.45 0.14 0.40 1.44 0.50 14 2.47 2.62 1.08 1.17 0.92 1.09 15 0.01 0.05 0.36 0.04 0.63 16 0.38 1.64 0.41 1.21 4.59 1.70 17 1.31 1.36 0.51 0.71 0.31 0.47 18 47.50 45.20 39.00 45.00 65.30 51.90 19 100.00 57.66 90.79 68.00 59.65 72.17 20 47.47 26.06 35.38 30.60 38.97 37.46 21 0.82 0.94 0.89 0.83 1.57 0.88 22 1.44 1.50 1.05 0.56 1.48 0.84 23 1.76 1.60 1.17 0.68 0.94 0.96 24 8.67 9.33 12.67 6.67 9.33 8.00 25 0.35 0.43 0.35 0.45 0.28 0.47 26 1.63 1.17 1.65 0.74 0.88 0.89 27 0.34 0.61 0.94 0.68 0.40 1.44 28 62.82 70.69 55.75 75.22 63.68 62.31 29 1.11 1.97 0.72 0.75 1.01 0.83 30 18.33 12.00 20.33 12.67 12.67 11.33 31 8.36 0.29 0.34 0.44 0.27 0.43 32 3.44 1.50 2.65 1.41 1.19 1.26 33 2.12 1.29 1.61 1.90 1.36 1.42 34 8.20 0.41 0.91 0.67 0.38 1.31 35 24.12 0.67 0.97 0.99 0.95 0.91 36 0.27 0.68 0.14 0.53 0.55 0.41 37 2.21 3.73 0.75 1.76 0.63 1.11 38 0.00 0.01 0.30 0.14 0.04 0.09 39 0.32 2.48 0.41 1.62 1.76 1.42 40 0.84 1.51 0.98 1.34 0.38 0.84 41 1.17 1.94 0.35 1.06 0.21 0.48 42 0.17 0.02 10.50 27.89 11.79 9.98 43 0.85 0.27 0.35 0.33 0.31 0.29 44 1.89 1.93 2.14 1.65 3.01 2.29 45 0.03 0.26 0.03 0.00 0.00 0.01 46 57.90 48.30 43.60 54.50 41.60 59.10 47 56.77 35.96 77.62 100.00 63.16 75.13 48 32.89 17.35 33.82 54.47 26.25 44.43 49 5.33 8.00 7.67 9.00 10.67 9.00 50 1.02 0.70 0.38 0.66 0.70 0.33 51 130.78 557.93 176.67 791.86 517.05 832.27 52 3.38 7.14 5.48 8.62 6.35 6.77 53 2.04 4.17 3.09 4.69 3.87 2.91 54 0.28 0.38 0.63 2.86 1.16 4.40 55 0.35 0.63 2.27 7.40 2.94 11.60 56 0.01 0.02 0.00 0.01 0.04 0.01 57 0.05 0.10 0.03 0.04 0.02 0.03 58 0.12 0.15 0.12 0.25 0.61 0.31 59 0.06 0.12 0.03 0.05 0.06 0.04 60 396.00 236.15 174.58 441.78 489.18 707.80 61 6.32 5.11 4.72 6.83 7.10 8.21 62 3.58 2.56 2.48 3.43 3.30 3.69 63 0.36 0.35 0.57 4.38 2.02 8.13 64 160.18 90.10 160.99 379.03 531.08 650.68 65 0.00 0.00 0.00 0.00 0.00 0.00 66 0.00 0.00 0.00 0.00 0.00 0.00 67 0.52 0.57 0.94 6.17 3.67 11.33 Table 13: Provided are the values of each of the parameters (as described above) measured in tomato accessions (Seed ID) under all growth conditions. Growth conditions are specified in the experimental procedure section.

TABLE 14 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal and stress conditions across tomato ecotypes Corr. Gene Exp. Set Gene Exp. Corr. Name R P value set ID Name R P value set Set ID LYD648 0.71 2.04E−02 1 20 LYD648 0.73 2.70E−02 2 1 LYD650 0.72 1.95E−02 5 45 LYD650 0.72 1.78E−02 9 37 LYD650 0.88 8.80E−04 9 41 LYD650 0.79 6.43E−03 11 41 LYD651 0.72 4.60E−02 2 10 LYD651 0.80 1.69E−02 2 5 LYD651 0.83 2.96E−03 8 43 LYD651 0.79 6.11E−03 11 35 LYD651 0.79 6.98E−03 11 31 LYD652 0.71 2.14E−02 1 27 LYD652 0.80 5.86E−03 10 61 LYD652 0.77 8.52E−03 10 64 LYD652 0.83 3.29E−03 10 63 LYD652 0.75 1.21E−02 10 67 LYD653 0.71 3.11E−02 2 2 LYD653 0.72 2.80E−02 3 2 LYD653 0.74 2.35E−02 3 4 LYD654 0.72 2.74E−02 3 2 LYD654 0.75 1.89E−02 3 4 LYD655 0.83 1.07E−02 2 9 LYD655 0.72 1.85E−02 12 19 LYD657 0.78 2.25E−02 2 12 LYD657 0.76 2.92E−02 2 11 LYD657 0.77 8.89E−03 5 47 LYD657 0.90 3.73E−04 5 48 LYD657 0.76 1.10E−02 11 30 LYD657 0.77 9.90E−03 11 32 LYD658 0.79 1.94E−02 2 8 LYD658 0.73 1.62E−02 6 58 LYD658 0.75 1.27E−02 11 39 LYD658 0.82 3.75E−03 11 36 LYD659 0.85 1.72E−03 1 21 LYD659 0.80 8.96E−03 1 15 LYD659 0.88 4.08E−03 2 6 LYD659 0.89 3.26E−03 2 10 LYD659 0.95 2.50E−04 2 5 LYD659 0.85 7.44E−03 2 7 LYD659 0.75 1.18E−02 8 50 LYD659 0.77 9.47E−03 10 65 LYD659 0.73 1.67E−02 12 20 LYD659 0.73 1.63E−02 12 19 LYD660 0.81 8.70E−03 2 3 LYD660 0.74 2.21E−02 2 1 LYD660 0.80 5.64E−03 11 33 LYD660 0.72 2.01E−02 11 40 LYD662 0.93 9.15E−05 6 59 LYD662 0.86 1.49E−03 6 57 LYD662 0.74 1.45E−02 9 37 LYD662 0.81 4.76E−03 9 41 LYD662 0.86 1.51E−03 12 24 LYD662 0.75 1.31E−02 12 14 LYD662 0.75 1.30E−02 12 17 LYD662 0.82 3.37E−03 12 26 LYD663 0.72 1.82E−02 6 58 LYD663 0.75 1.22E−02 12 16 LYD663 0.82 3.57E−03 12 21 LYD663 0.88 1.57E−03 12 15 LYD663 0.86 1.37E−03 12 18 LYD664 0.71 4.97E−02 2 5 LYD664 0.88 7.76E−04 5 50 LYD664 0.80 5.82E−03 5 45 LYD664 0.89 4.84E−04 11 33 LYD664 0.89 4.73E−04 11 30 LYD664 0.83 2.93E−03 11 32 LYD665 0.71 2.24E−02 1 21 LYD665 0.91 2.59E−04 8 50 LYD666 0.89 6.17E−04 6 56 LYD666 0.87 1.00E−03 6 65 LYD666 0.75 1.31E−02 10 60 LYD666 0.83 2.68E−03 10 64 LYD666 0.84 2.39E−03 12 13 LYD666 0.73 2.69E−02 12 15 LYD667 0.78 7.42E−03 12 20 LYD667 0.71 2.13E−02 12 23 LYD667 0.77 9.13E−03 12 19 LYD668 0.79 1.12E−02 2 3 LYD668 0.75 1.95E−02 2 1 LYD669 0.89 5.38E−04 6 59 LYD669 0.86 1.55E−03 6 57 LYD669 0.93 7.72E−05 12 24 LYD669 0.82 3.72E−03 12 14 LYD669 0.81 4.92E−03 12 17 LYD669 0.94 5.22E−05 12 26 LYD669 0.77 9.06E−03 12 18 LYD670 0.79 6.65E−03 1 20 LYD670 0.77 8.66E−03 1 22 LYD670 0.88 4.33E−03 2 12 LYD670 0.76 1.79E−02 2 3 LYD670 0.88 1.57E−03 2 1 LYD670 0.78 2.37E−02 2 11 LYD670 0.73 2.59E−02 3 3 LYD670 0.88 1.58E−03 3 1 LYD672 0.71 2.05E−02 8 43 LYD672 0.83 3.24E−03 11 35 LYD672 0.74 1.36E−02 11 34 LYD672 0.82 3.71E−03 11 31 LYD673 0.94 4.23E−04 2 6 LYD673 0.90 2.12E−03 2 10 LYD673 0.95 3.89E−04 2 5 LYD673 0.95 3.25E−04 2 7 LYD673 0.73 1.70E−02 10 63 LYD673 0.70 2.34E−02 12 19 LYD674 0.72 4.59E−02 2 5 LYD674 0.73 1.68E−02 11 36 LYD675 0.79 2.00E−02 2 6 LYD675 0.84 9.67E−03 2 10 LYD675 0.88 4.05E−03 2 5 LYD675 0.72 4.37E−02 2 7 LYD675 0.91 2.96E−04 11 35 LYD675 0.84 2.25E−03 11 34 LYD675 0.90 4.48E−04 11 31 LYD676 0.73 1.55E−02 8 43 LYD676 0.78 8.05E−03 11 35 LYD676 0.77 9.17E−03 11 31 LYD677 0.75 1.91E−02 2 3 LYD677 0.77 2.50E−02 2 10 LYD677 0.73 4.09E−02 2 5 LYD678 0.78 8.42E−03 8 49 LYD678 0.72 1.99E−02 11 42 LYD678 0.87 1.12E−03 11 38 LYD679 0.77 8.47E−03 1 19 LYD679 0.78 2.22E−02 2 6 LYD679 0.83 1.17E−02 2 10 LYD679 0.85 7.58E−03 2 5 LYD679 0.75 3.29E−02 2 7 LYD679 0.84 4.95E−03 3 3 LYD679 0.72 2.97E−02 3 1 LYD679 0.72 1.99E−02 5 43 LYD679 0.81 4.78E−03 9 35 LYD679 0.81 4.89E−03 9 34 LYD679 0.81 4.67E−03 9 31 LYD679 0.71 3.31E−02 12 15 LYD679 0.84 2.28E−03 12 22 LYD680 0.73 1.71E−02 1 27 LYD680 0.72 4.47E−02 2 7 LYD680 0.71 2.19E−02 8 46 LYD680 0.80 5.67E−03 10 63 LYD680 0.74 1.48E−02 10 67 LYD681 0.82 1.26E−02 2 9 LYD681 0.83 5.53E−03 3 1 LYD681 0.71 2.17E−02 8 48 LYD681 0.73 1.71E−02 9 37 LYD682 0.75 1.96E−02 2 4 LYD682 0.73 2.54E−02 3 3 LYD682 0.70 2.29E−02 6 58 LYD682 0.72 2.00E−02 12 16 LYD682 0.76 1.07E−02 12 21 LYD682 0.80 8.91E−03 12 15 LYD682 0.72 1.94E−02 11 42 LYD683 0.71 2.22E−02 10 59 LYD684 0.70 2.33E−02 9 32 LYD685 0.71 2.10E−02 5 43 LYD685 0.93 1.00E−04 5 45 LYD685 0.75 1.20E−02 8 43 LYD685 0.74 1.52E−02 9 41 LYD685 0.89 6.58E−04 11 35 LYD685 0.83 3.23E−03 11 34 LYD685 0.88 6.67E−04 11 31 LYD686 0.79 6.31E−03 9 35 LYD686 0.72 1.86E−02 9 34 LYD686 0.78 8.07E−03 9 31 LYD690 0.85 7.24E−03 2 12 LYD690 0.77 2.66E−02 2 11 LYD690 0.75 1.25E−02 11 35 LYD690 0.75 1.20E−02 11 34 LYD690 0.75 1.31E−02 11 31 Table 14. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Corr))] under normal conditions across tomato ecotypes. P = p value.

Example 5

Production of Tomato Transcriptome and High Throughput Correlation Analysis Using 44K Tomato Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis, the present inventors utilized a Tomato oligonucleotide micro-array, produced by Agilent Technologies [Hypertext Transfer Protocol://World Wide Web (dot) chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 44,000 Tomato genes and transcripts. In order to define correlations between the levels of RNA expression with ABST, yield components or vigor related parameters various plant characteristics of 18 different Tomato varieties were analyzed. Among them, 10 varieties encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test.

I. Correlation of Tomato Varieties Across Ecotype Grown Under 50% Irrigation Conditions

Experimental Procedures

Growth procedure—Tomato variety was grown under normal conditions (4-6 Liters/m² per day) until flower stage. At this time, irrigation was reduced to 50% compared to normal conditions.

RNA extraction—Two tissues at different developmental stages [flower and leaf], representing different plant characteristics, were sampled and RNA was extracted as described above.

Fruit Yield (grams)—At the end of the experiment [when 50% of the fruit were ripe (red)] all fruits from plots within blocks A-C were collected. The total fruits were counted and weighted. The average fruits weight was calculated by dividing the total fruit weight by the number of fruits.

Yield/SLA and Yield/total leaf area—Fruit yield divided by the specific leaf area or the total leaf area gives a measurement of the balance between reproductive and vegetative processes.

Plant Fresh Weight (grams)—At the end of the experiment [when 50% of the fruit were ripe (red)] all plants from plots within blocks A-C were collected. Fresh weight was measured (grams).

Inflorescence Weight (grams)—At the end of the experiment [when 50% of the fruits were ripe (red)] two inflorescence from plots within blocks A-C were collected. The inflorescence weight (gr.) and number of flowers per inflorescence were counted.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

Water use efficiency (WUE)—can be determined as the biomass produced per unit transpiration. To analyze WUE, leaf relative water content was measured in control and transgenic plants. Fresh weight (FW) was immediately recorded; then leaves were soaked for 8 hours in distilled water at room temperature in the dark, and the turgid weight (TW) was recorded. Total dry weight (DW) was recorded after drying the leaves at 60° C. to a constant weight. Relative water content (RWC) was calculated according to the following Formula I [(FW−DW/TW−DW)×100] as described above.

Plants that maintain high relative water content (RWC) compared to control lines were considered more tolerant to drought than those exhibiting reduced relative water content.

TABLE 15 Tissues used for tomato transcriptome expression sets Expression Set Set ID Root grown under normal growth conditions 1 + 7 Root grown under NUE growth conditions 2 + 4 Leaf grown under normal growth conditions 3 + 5 Leaf grown under NUE growth conditions 6 + 8 Table 15: Provided are the identification (ID) digits of each of the tomato expression sets.

Tomato yield components and vigor related parameters under 50% water irrigation assessment—10 Tomato varieties in 3 repetitive blocks (named A, B, and C), each containing 6 plants per plot were grown at net house. Plants were phenotyped on a daily basis following the standard descriptor of tomato (Table 16, below). Harvest was conducted while 50% of the fruits were red (mature). Plants were separated to the vegetative part and fruits, of them, 2 nodes were analyzed for additional inflorescent parameters such as size, number of flowers, and inflorescent weight. Fresh weight of all vegetative material was measured. Fruits were separated to colors (red vs. green) and in accordance with the fruit size (small, medium and large). Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Data parameters collected are summarized in Table 16, herein below.

TABLE 16 Tomato correlated parameters (vectors) Correlated parameter with Correlation ID Shoot Biomass [DW]/SPAD (gr/SPAD) 1 Root Biomass [DW]/SPAD (gr/SPAD) 2 Total Biomass [Root + Shoot DW]/SPAD (gr/SPAD) 3 N level/Leaf [SPAD unit/leaf] (SPAD/gr) 4 Shoot/Root (ratio) 5 Percent Shoot Biomass reduction 6 compared to normal (%) Percent Root Biomass reduction 7 compared to normal (%) Shoots NUE (gr) 8 Roots NUE (gr) 9 Total biomass NUE (gr) 10 Plant Height NUE (cm) 11 Plant Height Normal (cm) 12 SPAD NUE (number) 13 Leaf number NUE/Normal (ratio) 14 Plant Height NUE/Normal (ratio) 15 SPAD NUE/Normal (ratio) 16 leaf No. NUE (number) 17 leaf No. Normal (number) 18 Plant height Normal (cm) 19 SPAD Normal 20 Table 16: Provided are the tomato correlated parameters. “NUE” = nitrogen use efficiency; “DW” = dry weight; “cm” = centimeter.

Experimental Results

RNA extraction—All 10 selected Tomato varieties were sampled per each treatment. Two tissues [leaves and flowers] growing at 50% irrigation or under normal conditions were sampled and RNA was extracted using TRIzol Reagent from Invitrogen [Hypertext Transfer Protocol://World Wide Web (dot) invitrogen (dot) com/content (dot)cfm?pageid=469]. Extraction of RNA from tissues was performed as described under “General Experimental And Bioinformatics Methods” above.

10 different Tomato varieties (accessions) were grown and characterized for 20 parameters as described above. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 17-18 below. Subsequent correlation analysis between expression of selected genes in various transcriptome expression sets and the measured parameters in tomato accessions (Tables 17-18) was conducted, and results were integrated to the database.

TABLE 17 Measured parameters in Tomato accessions (line 1-6) Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 1 0.00 0.00 0.00 0.01 0.00 0.01 2 0.00 0.00 0.00 0.00 0.00 0.00 3 0.00 0.01 0.00 0.01 0.01 0.01 4 10.85 11.53 11.41 10.44 11.17 8.93 5 5.01 6.41 11.39 9.49 11.60 8.20 6 75.38 62.15 55.11 49.73 63.19 82.67 7 62.59 143.71 54.16 70.55 59.69 96.13 8 35.35 38.35 24.09 65.02 46.71 46.67 9 6.99 7.73 2.54 7.04 5.04 8.01 10 58.47 69.70 63.75 69.29 71.10 60.54 11 36.78 39.89 47.00 46.44 45.44 12 45.33 47.78 55.33 56.22 48.67 13 34.57 24.87 31.58 29.72 31.83 14 0.85 0.90 1.09 0.88 1.02 15 0.81 0.83 0.85 0.83 0.93 16 1.01 0.98 1.00 0.98 0.98 17 5.56 6.22 6.78 5.56 6.56 1 0.01 0.01 0.01 0.01 0.01 0.01 2 0.00 0.00 0.00 0.00 0.00 0.00 3 0.01 0.01 0.01 0.02 0.01 0.01 4 9.29 10.18 8.87 8.43 9.83 8.57 5 5.40 12.65 10.02 15.42 8.83 7.52 8 4.69 6.17 4.37 13.08 7.39 5.65 9 1.12 0.54 0.47 1.00 0.84 0.83 10 7.47 9.10 8.63 8.85 7.22 7.87 18 6.56 6.89 6.22 6.33 6.44 19 45.33 47.78 55.33 56.22 48.67 20 34.30 25.31 31.43 30.24 32.43 Table 17. Provided are the measured yield components and vigor related parameters under normal or Nitrogen use efficiency parameters for the tomato accessions (Varieties) according to the Correlation ID numbers (described in Table 16 above)

TABLE 18 Measured parameters in Tomato accessions (line 7-12) Ecotype/ Treatment Line-7 Line-8 Line-9 Line-10 Line-11 Line-12 1 0.01 0.01 0.01 0.01 0.0056 2 0.00 0.00 0.00 0.00 0.0015 3 0.01 0.01 0.01 0.01 0.007 4 7.93 7.99 10.30 8.59 14.491 5 10.38 10.52 8.24 7.97 3.9092 6 66.92 107.98 55.40 54.43 59.746 7 106.50 111.90 81.64 32.21 87.471 8 120.07 60.09 66.27 56.46 60.32 9 15.09 9.02 8.78 7.25 15.94 10 73.90 68.81 66.74 70.82 49.72 11 47.67 39.33 41.78 41.00 34.44 12 55.78 37.44 49.56 46.33 40.78 13 30.33 30.29 31.32 28.77 28.58 14 0.87 1.06 0.91 1.12 0.98 15 0.85 1.05 0.84 0.88 0.84 16 0.93 1.05 1.01 0.99 1.02 17 5.11 5.89 5.56 6.33 7.22 1 0.02 0.01 0.01 0.01 0.0094 2 0.00 0.00 0.00 0.00 0.0017 3 0.02 0.01 0.01 0.01 0.011 4 6.57 6.97 8.71 7.35 9.3699 5 12.61 7.99 14.31 4.80 6.2937 8 17.94 5.56 11.96 10.37 10.1 9 0.94 0.81 1.08 2.25 1.82 10 9.09 7.91 8.55 8.68 6.24 18 5.89 5.56 6.11 5.67 7.33 19 55.78 37.44 49.56 46.33 40.78 20 32.58 28.77 30.92 28.99 28.12 Table 18: Provided are the measured yield components and vigor related parameters under normal or Nitrogen use efficiency parameters for the tomato accessions (Varieties) according to the Correlation ID numbers (described in Table 16 above)

TABLE 19 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal or low nitrogen use conditions across tomato accessions Corr. Corr. Gene Exp. Set Gene Exp. Set Name R P value set ID Name R P value set ID LYD648 0.73 2.42E−02 1 2 LYD648 0.72 2.90E−02 2 9 LYD648 0.71 3.18E−02 2 2 LYD648 0.73 2.66E−02 4 9 LYD648 0.71 3.26E−02 4 3 LYD648 0.72 2.88E−02 4 2 LYD648 0.73 2.69E−02 7 2 LYD651 0.76 1.77E−02 6 7 LYD651 0.76 1.72E−02 8 7 LYD652 0.73 4.09E−02 3 18 LYD652 0.72 2.84E−02 7 4 LYD653 0.76 2.70E−02 4 15 LYD653 0.79 1.22E−02 4 6 LYD654 0.81 8.61E−03 2 4 LYD654 0.78 1.31E−02 4 4 LYD654 0.78 1.38E−02 6 7 LYD654 0.81 1.42E−02 7 18 LYD655 0.79 1.16E−02 2 8 LYD655 0.83 5.65E−03 2 9 LYD655 0.76 1.65E−02 2 3 LYD655 0.75 1.94E−02 2 1 LYD655 0.77 1.53E−02 2 2 LYD655 0.79 1.14E−02 4 8 LYD655 0.83 5.95E−03 4 9 LYD655 0.76 1.68E−02 4 3 LYD655 0.75 1.96E−02 4 1 LYD655 0.76 1.66E−02 4 2 LYD657 0.91 1.90E−03 6 15 LYD657 0.88 1.67E−03 6 6 LYD658 0.73 2.67E−02 3 9 LYD658 0.73 2.48E−02 3 2 LYD659 0.89 1.15E−03 6 7 LYD660 0.81 1.44E−02 4 17 LYD660 0.71 3.19E−02 6 2 LYD660 0.78 1.35E−02 6 7 LYD660 0.85 4.02E−03 7 4 LYD660 0.76 2.84E−02 7 18 LYD660 0.78 1.24E−02 8 7 LYD664 0.74 2.21E−02 6 7 LYD664 0.73 2.43E−02 8 7 LYD667 0.94 5.35E−04 4 15 LYD667 0.88 1.75E−03 4 6 LYD667 0.73 2.49E−02 4 7 LYD667 0.81 1.41E−02 6 15 LYD667 0.89 1.39E−03 6 6 LYD668 0.74 2.32E−02 6 7 LYD669 0.92 1.38E−03 4 15 LYD669 0.89 3.23E−03 6 15 LYD669 0.94 1.50E−04 6 6 LYD670 0.75 3.38E−02 6 15 LYD670 0.74 2.35E−02 6 6 LYD672 0.74 2.26E−02 6 9 LYD672 0.71 3.33E−02 6 2 LYD672 0.79 1.17E−02 6 7 LYD673 0.74 3.51E−02 4 12 LYD673 0.74 3.51E−02 7 19 LYD674 0.72 4.42E−02 6 17 LYD675 0.73 2.60E−02 6 9 LYD675 0.81 7.67E−03 6 7 LYD675 0.72 2.79E−02 8 9 LYD675 0.81 8.09E−03 8 7 LYD676 0.75 2.12E−02 6 7 LYD676 0.81 1.57E−02 7 18 LYD676 0.76 1.84E−02 8 7 LYD677 0.77 2.57E−02 3 19 LYD677 0.77 2.57E−02 6 12 LYD678 0.72 4.30E−02 4 16 LYD678 0.72 2.81E−02 4 6 LYD678 0.79 1.98E−02 6 15 LYD678 0.90 9.54E−04 6 6 LYD680 0.71 5.02E−02 4 17 LYD682 0.74 3.43E−02 3 20 LYD683 0.70 3.48E−02 6 7 LYD684 0.85 3.56E−03 6 7 LYD690 0.70 3.56E−02 4 6 LYD690 0.83 1.16E−02 6 15 LYD690 0.93 3.18E−04 6 6 Table 19. Provided are the correlations (R) between the expression levels of yield improving genes and their homologues in tissues [Leaves or roots; Expression sets (Exp)] and the phenotypic performance in various yield, biomass, growth rate and/or vigor components [Correlation vector (corr.)] under stress conditions or normal conditions across tomato accessions. P = p value.

Example 6

Production of B. juncea Transcriptome and High Throughput Correlation Analysis with Yield Parameters Using 60K B. juncea Oligonucleotide Micro-Arrays

In order to produce a high throughput correlation analysis, the present inventors utilized a B. juncea oligonucleotide micro-array, produced by Agilent Technologies [Hypertext Transfer Protocol://World Wide Web (dot) chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60,000 B. juncea genes and transcripts. In order to define correlations between the levels of RNA expression with yield components or vigor related parameters, various plant characteristics of 11 different B. juncea varieties were analyzed and used for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test.

Correlation of B. juncea Genes' Expression Levels with Phenotypic Characteristics Across Ecotype

Experimental Procedures

Eleven B. juncea varieties were grown in three repetitive plots, in field. Briefly, the growing protocol was as follows: B. juncea seeds were sown in soil and grown under normal condition till harvest. In order to define correlations between the levels of RNA expression with yield components or vigor related parameters, the eleven different B. juncea varieties were analyzed and used for gene expression analyses.

TABLE 20 Tissues used for B, juncea transcriptome expression sets Expression Set Set ID Meristem at vegetative stage under normal growth conditions 1 Flower at flowering stage under normal growth conditions 2 Leaf at vegetative stage under normal growth conditions 3 Pod (R1-R3) under normal growth conditions 4 Pod (R4-R5) under normal growth conditions 5 Table 20: Provided are the identification (ID) digits of each of the B, juncea expression sets.

RNA extraction—All 11 selected B. juncea varieties were sample per each treatment. Plant tissues [leaf, Pod, Lateral meristem and flower] growing under normal conditions were sampled and RNA was extracted as described above.

The collected data parameters were as follows:

Fresh weight (plot-harvest) [gr/plant]—total fresh weight per plot at harvest time normalized to the number of plants per plot.

Seed Weight [milligrams/plant]—total seeds from each plot was extracted, weighted and normalized for plant number in each plot.

Harvest index—The harvest index was calculated: seed weight/fresh weight.

Days till bolting/flowering—number of days till 50% bolting/flowering for each plot.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken for each plot.

Main branch—average node length—total length/total number of nods on main branch.

Lateral branch—average node length—total length/total number of nods on lateral branch.

Main branch—20th length—the length of the pod on the 20^(th) node from the apex of main branch.

Lateral branch—20th length—the length of the pod on the 20^(th) node from the apex of lateral branch.

Main branch—20th seed No.—number of seeds in the pod on the 20^(th) node from the apex of main branch.

Lateral branch—20th seed number—number of seeds in the pod on the 20^(th) node from the apex of lateral branch.

Number of lateral branches—total number of lateral branches, average of three plants per plot.

Main branch height [cm]—total length of main branch.

Min-lateral branch position—lowest node on the main branch that has developed lateral branch.

Max-lateral branch position [#node of main branch]—highest node on the main branch that has developed lateral branch.

Max-number of nodes in lateral branch—the highest number of node that a lateral branch had per plant.

Max length of lateral branch [cm]—the highest length of lateral branch per plant.

Max diameter of lateral branch [mm]—the highest base diameter that a lateral branch had per plant.

Oil Content—Indirect oil content analysis was carried out using Nuclear Magnetic Resonance (NMR) Spectroscopy, which measures the resonance energy absorbed by hydrogen atoms in the liquid state of the sample [See for example, Conway T F. and Earle F R., 1963, Journal of the American Oil Chemists' Society; Springer Berlin/Heidelberg, ISSN: 0003-021X (Print) 1558-9331 (Online)].

Fresh weight (single plant) (gr/plant)—average fresh weight of three plants per plot taken at the middle of the season.

Main branch base diameter [mm]—the based diameter of main branch, average of three plants per plot.

1000 Seeds [gr]—weight of 1000 seeds per plot.

Experimental Results

Eleven different B. juncea varieties (i.e., seed ID 646, 648, 650, 657, 661, 662, 663, 664, 669, 670, 671) were grown and characterized for 23 parameters as specified above. The average for each of the measured parameters was calculated using the JMP software and values are summarized in Tables 22-23 below. Subsequent correlation analysis between the various transcriptome expression sets and the average parameters, was conducted. Results were then integrated to the database.

TABLE 21 Correlated parameters in B. juncea accessions Correlated parameter with Correlation ID Days till bolting (days) 1 Fresh weight (plot-harvest) [gr/plant] 2 Seed weight per plant (gr) 3 Harvest index (ratio) 4 Days till flowering (days) 5 SPAD 6 Main branch - average node length (cm) 7 Lateral branch - average node length (cm) 8 Main branch - 20th length (cm) 9 Lateral branch - 20th length (cm) 10 Main branch - 20th seed number (number) 11 Lateral branch - 20th seed number (number) 12 Number of lateral branches (number) 13 Main branch height [cm] 14 Min-Lateral branch position ([#node of main branch) 15 Max-Lateral branch position [#node of main branch] 16 Max-Number of nodes in lateral branch (number) 17 Max-Length of lateral branch [cm] 18 Max-Diameter of lateral branch [mm] 19 Oil content (mg) 20 Fresh weight (single plant) [gr/plant] 21 Main branch base diameter [mm] 22 1000 Seeds [gr] 23 Table 21. Provided are the B. juncea correlated parameters, “gr.” = grams; mm = millimeters; “cm” = centimeters; “mg” = milligrams; “SPAD” = chlorophyll levels;

TABLE 22 Measured parameters in B. juncea accessions (lines 1-6) Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 1 57.33 60.33 59.67 56.33 55.00 46.67 2 69.24 45.22 39.27 49.11 43.95 46.42 3 0.00 0.01 0.01 0.01 0.01 0.01 4 0.00 0.00 0.00 0.00 0.00 0.00 5 66.00 69.67 69.33 66.00 61.33 53.00 6 33.02 30.01 32.83 37.53 41.44 35.41 7 0.48 0.41 0.63 0.43 0.38 0.68 8 0.65 0.43 0.74 0.57 0.56 0.79 9 4.28 3.72 3.62 3.50 2.74 5.20 10 4.32 3.69 4.14 3.37 3.06 3.96 11 13.22 13.67 10.44 14.11 9.78 15.22 12 13.00 14.00 13.22 13.44 11.00 13.11 13 15.22 14.89 13.56 14.89 14.00 9.78 14 140.72 125.22 112.44 133.39 142.00 101.50 15 6.78 6.33 5.56 3.67 3.00 3.11 16 15.22 14.89 13.56 14.89 14.00 10.89 17 5.22 7.00 5.22 7.00 6.56 9.44 18 40.44 47.22 41.61 60.50 59.78 59.44 19 4.20 4.85 4.34 5.74 5.87 5.68 20 40.19 40.71 40.91 38.57 40.14 42.63 21 197.78 142.22 147.22 243.33 192.33 163.78 22 14.53 11.99 19.91 14.32 12.59 12.30 23 3.76 2.21 3.26 2.36 2.00 3.12 Table 22. Provided are the values of each of the parameters (as described above) measured in B. juncea accessions (Seed ID) under normal conditions.

TABLE 23 Measured parameters in B. juncea accessions (lines 7-11) Ecotype/Treatment Line-7 Line-8 Line-9 Line- 10 Line-11 1 59.00 54.33 59.67 57.33 53.00 2 36.14 32.58 33.16 63.23 60.94 3 0.00 0.00 0.00 0.01 0.01 4 0.00 0.00 0.00 0.00 0.00 5 69.67 63.67 69.67 71.00 58.33 6 33.17 32.87 34.80 31.82 41.49 7 0.40 0.63 0.57 0.59 1.55 8 0.57 0.76 0.96 0.78 0.90 9 3.91 3.98 3.46 3.73 4.04 10 4.33 4.21 4.14 4.04 3.88 11 12.00 12.67 9.89 11.56 15.56 12 11.89 13.44 11.22 13.22 14.00 13 16.44 14.33 14.56 14.11 16.78 14 145.39 131.56 129.89 131.56 116.44 15 7.78 6.22 5.56 4.89 5.33 16 16.44 14.33 14.56 14.11 16.78 17 6.11 5.22 5.67 6.56 6.00 18 47.28 47.33 44.67 58.67 47.17 19 4.52 4.89 4.68 5.56 5.49 20 41.34 40.82 40.82 38.14 37.21 21 164.44 181.11 176.22 217.89 261.11 22 12.60 12.91 12.56 13.77 13.56 23 3.34 3.09 3.39 3.40 2.39 Table 23: Provided are the values of each of the parameters (as described above) measured in B. juncea accessions (Seed ID) under normal conditions.

TABLE 24 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal or normal conditions across B. Juncea accessions Corr. Corr. Gene Exp. Set Gene Exp. Set Name R P value set ID Name R P value set ID LYD537 0.76 7.70E−02 2 19 LYD537 0.84 3.50E−02 2 18 LYD537 0.73 9.84E−02 2 17 LYD537 0.73 9.68E−02 2 2 LYD537 0.72 1.95E−02 3 4 LYD538 0.77 7.11E−02 2 21 LYD538 0.90 1.59E−02 2 2 LYD538 0.72 1.09E−01 2 12 LYD538 0.70 2.40E−02 3 19 LYD538 0.82 4.06E−03 3 11 LYD538 0.72 2.00E−02 3 3 LYD538 0.76 6.83E−03 5 7 LYD539 0.75 1.24E−02 3 4 LYD540 0.80 5.79E−02 2 21 LYD540 0.85 3.24E−02 2 3 LYD540 0.80 5.64E−02 2 7 LYD540 0.90 1.36E−02 2 2 LYD540 0.86 2.80E−02 2 12 LYD540 0.76 1.15E−02 3 4 LYD540 0.74 9.59E−03 5 17 Table 24. Provided are the correlations (R) between the expression levels of yield improving genes and their homologues in tissues [Leaves, meristem, flower and pods; Expression sets (Exp)] and the phenotypic performance in various yield, biomass, growth rate and/or vigor components [Correlation vector (corr.)] under stress conditions or normal conditions across B, juncea accessions. P = p value.

Example 7

Production of B. juncea Transcriptome and High Throughput Correlation Analysis with Yield Parameters of Juncea Grown Under Various Population Densities Using 60K B. juncea Oligonucleotide Micro-Arrays

In order to produce a high throughput correlation analysis, the present inventors utilized a B. juncea oligonucleotide micro-array, produced by Agilent Technologies [Hypertext Transfer Protocol://World Wide Web (dot) chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60,000 B. juncea genes and transcripts. In order to define correlations between the levels of RNA expression with yield components or vigor related parameters, various plant characteristics of two different B. juncea varieties grown under seven different population densities were analyzed and used for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test.

Correlation of B. juncea Genes' Expression Levels with Phenotypic Characteristics Across Seven Population Densities for Two Ecotypes

Experimental Procedures

Two B. juncea varieties were grown in a field under seven population densities (10, 60, 120, 160, 200, 250 and 300 plants per m²) in two repetitive plots. Briefly, the growing protocol was as follows: B. juncea seeds were sown in soil and grown under normal condition till harvest. In order to define correlations between the levels of RNA expression with yield components or vigor related parameters, the two different B. juncea varieties grown under various population densities were analyzed and used for gene expression analyses. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test for each ecotype independently.

TABLE 25 Tissues used for B. juncea transcriptome expression sets Expression Set Set ID Meristem under normal growth conditions various population 1 + 2 densities Flower under normal growth conditions various population 3 densities Table 25: Provided are the identification (ID) digits of each of the B, juncea expression sets.

RNA extraction—the two B. juncea varieties grown under seven population densities were sample per each treatment. Plant tissues [Flower and Lateral meristem] growing under Normal conditions were sampled and RNA was extracted as described above. For convenience, each micro-array expression information tissue type has received a Set ID.

The collected data parameters were as follows:

Fresh weight (plot-harvest) [gr/plant]—total fresh weight per plot at harvest time normalized to the number of plants per plot.

Seed weight [gr/plant]—total seeds from each plot was extracted, weighted and normalized for plant number in each plot.

Harvest index—The harvest index was calculated: seed weight/fresh weight.

Days till bolting/flowering—number of days till 50% bolting/flowering for each plot.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken for each plot.

Main branch—average node length—total length/total number of nods on main branch.

Lateral branch—average node length—total length/total number of nods on lateral branch.

Main branch—20th length—the length of the pod on the 20^(th) node from the apex of main branch.

Lateral branch—20th length—the length of the pod on the 20^(th) node from the apex of lateral branch.

Main branch—20th seed No.—number of seeds in the pod on the 20^(th) node from the apex of main branch.

Lateral branch—20th seed number—number of seeds in the pod on the 20^(th) node from the apex of lateral branch.

Number of lateral branches—total number of lateral branches, average of three plants per plot.

Main branch height [cm]—total length of main branch.

Min-Lateral branch position—lowest node on the main branch that has developed lateral branch.

Max-Lateral branch position [#node of main branch]—highest node on the main branch that has developed lateral branch.

Max-number of nodes in lateral branch—the highest number of node that a lateral branch had per plant.

Max-length of lateral branch [cm]—the highest length of lateral branch per plant.

Max diameter of lateral branch [mm]—the highest base diameter that a lateral branch had per plant.

Oil content—Indirect oil content analysis was carried out using Nuclear Magnetic Resonance (NMR) Spectroscopy, which measures the resonance energy absorbed by hydrogen atoms in the liquid state of the sample [See for example, Conway T F. and Earle F R., 1963, Journal of the American Oil Chemists' Society; Springer Berlin/Heidelberg, ISSN: 0003-021X (Print) 1558-9331 (Online)].

Fresh weight (single plant) (gr/plant)—average fresh weight of three plants per plot taken at the middle of the season.

Main branch base diameter [mm]—the based diameter of main branch, average of three plants per plot.

1000 Seeds [gr]—weight of 1000 seeds per plot.

Main branch-total number of pods—total number of pods on the main branch, average of three plants per plot.

Main branch-dist. 1-20—the length between the youngest pod and pod number 20 on the main branch, average of three plants per plot.

Lateral branch-total number of pods—total number of pods on the lowest lateral branch, average of three plants per plot.

Lateral branch-dis. 1-20—the length between the youngest pod and pod number 20 on the lowest lateral branch, average of three plants per plot.

Dry weight/plant—weight of total plants per plot at harvest after three days at oven at 60° C. normalized for the number of plants per plot.

Total leaf area—Total leaf area per plot was calculated based on random three plants and normalized for number of plants per plot.

Total Perim.—total perimeter of leaves, was calculated based on random three plants and normalized for number of plants per plot.

Experimental Results

Two B. juncea varieties were grown under seven different population densities and characterized for 30. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 27-29 below. Subsequent correlation analysis between the expression of selected genes in various transcriptome expression sets and the average parameters was conducted. Results were then integrated to the database.

TABLE 26 Correlation parameters in B. juncea accessions Correlated parameter with Correlation ID Main branch base diameter [mm] 1 Fresh Weight (single plant) [gr/plant] 2 Main branch height [cm] 3 Number of lateral branches (number) 4 Min-Lateral branch position 5 (number of node on the main stem) Max-Lateral branch position 6 (number of node on the main stem) Max-Number of nodes in lateral branch (number) 7 Max-Length of lateral branch [cm] 8 Max-Diameter of lateral branch [mm] 9 Main branch-total number of pods (number) 10 Main branch-dist. 1-20 11 Main branch-20th length (cm) 12 Main branch-20th seed number (number) 13 Lateral branch-total number of pods (number) 14 Lateral branch-dist. 1-20 15 Lateral branch-20th length (cm) 16 Lateral branch-20th seed number (number) 17 Oil content (mg) 18 SPAD 19 days till bolting (days) 20 days till flowering (days) 21 Fresh weight (at harvest)/plant (gr/plant) 22 Dry weight/plant (gr/plant) 23 Seed weight/plant (gr/plant) 24 Fresh weight (harvest)/hectare (Kg/hectare) 25 Dry weight/hectare (Kg/hectare) 26 Seed weight/hectare 27 1000Seeds [gr] 28 Total leaf area (cm) 29 Total perim. 30 Table 26. Provided are the B. juncea correlated parameters. “gr.” = grams; mm = millimeters; “cm” = centimeters; “mg” = milligrams; “SPAD” = chlorophyll levels; “Kg.” = kilograms;

TABLE 27 Measured parameters in B. juncea accessions at various population densities (line 1-6) Ecotype/Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 1 14.77 6.90 5.62 4.99 6.45 3.95 2 0.37 0.04 0.03 0.02 0.04 0.02 3 118.67 115.50 111.33 106.00 117.50 108.00 4 17.17 19.17 15.83 19.33 18.33 17.83 5 1.00 11.00 7.00 11.00 9.00 9.00 6 20.00 23.00 19.00 24.00 22.00 20.00 7 10.00 4.00 4.00 4.00 6.00 4.00 8 122.00 41.00 43.00 36.00 40.00 42.00 9 7.70 2.90 2.50 2.00 3.40 2.50 10 20.00 15.33 17.67 16.50 23.17 16.83 11 42.35 27.90 31.22 26.05 27.72 31.85 12 5.12 4.63 4.60 4.67 4.73 4.68 13 20.00 17.67 18.00 18.50 17.67 17.50 14 17.33 11.67 10.67 10.17 12.50 9.83 15 40.73 17.53 19.08 15.65 15.23 17.73 16 5.12 4.48 4.37 4.33 4.35 4.40 17 21.67 19.33 17.00 18.83 15.67 17.17 18 28.86 29.62 29.57 30.59 29.87 25.22 19 43.49 41.95 40.48 37.93 39.50 45.57 20 53.00 50.50 48.00 53.00 50.00 51.50 21 67.00 64.00 64.00 64.00 64.00 62.50 22 0.26 0.02 0.01 0.01 0.01 0.01 23 0.07 0.01 0.00 0.00 0.00 0.00 24 0.02 0.00 0.00 0.00 0.00 0.00 25 22434.19 22067.24 32929.29 18596.04 20654.32 24019.71 26 6109.02 9857.37 8940.70 4363.21 6702.22 6009.09 27 1797.45 2307.34 2552.84 1466.27 2100.38 1901.67 28 1.80 1.75 1.62 1.99 1.92 1.54 29 508.27 37.49 25.00 14.33 50.79 29.13 30 862.83 100.50 67.98 37.91 97.51 61.17 Table 27

TABLE 28 Measured parameters in B. juncea accessions at various population densities (line 7-12) Ecotype/Treatment Line-7 Line-8 Line-9 Line-10 Line-11 Line-12 1 7.37 18.90 7.81 6.79 6.95 7.53333 2 0.07 0.34 0.04 0.03 0.025 0.02833 3 116.00 133.17 144.58 144.92 138.5 144.167 4 16.17 12.50 15.33 16.83 16.6667 16.6667 5 5.00 1.00 8.00 9.00 8 10 6 20.00 14.00 17.00 21.00 18 19 7 6.00 11.00 6.00 5.00 4 6 8 78.00 127.00 42.00 34.00 23 38 9 4.40 8.40 3.00 2.60 2.1 2.8 10 15.17 30.67 35.17 29.83 30.8333 29.3333 11 37.58 38.72 32.85 28.77 25.3 26.3833 12 5.10 4.67 3.85 4.43 4.11667 4.11667 13 17.67 14.33 10.33 13.83 10.3333 11 14 14.00 29.83 17.33 12.83 11.1667 13 15 28.25 33.42 14.27 9.83 8.6 10.9833 16 4.95 4.48 3.67 3.98 4.03333 3.96667 17 14.55 12.83 10.17 12.33 10.6667 9.83333 18 26.78 34.39 38.65 39.66 36.795 37.1 19 40.89 43.83 41.31 40.86 39.31 40.46 20 53.00 55.00 50.50 47.00 48 49 21 62.50 64.00 61.00 61.00 61 61 22 0.05 0.19 0.02 0.01 0.0098 0.00884 23 0.01 0.05 0.00 0.00 0.00377 0.00296 24 0.00 0.01 0.00 0.00 0.00084 0.00082 25 33376.44 16427.35 15747.62 18531.77 17182.5 16833.3 26 7906.66 3979.78 4609.25 5801.02 6581.38 5656.27 27 2247.01 1270.04 1560.53 1732.85 1472.18 1560.8 28 1.56 2.82 3.20 2.88 3.25697 3.27691 29 76.39 1338.58 76.82 34.46 28.2774 41.3294 30 219.14 1518.31 162.79 82.77 75.366 83.49 Table 28.

TABLE 29 Measured parameters in B. juncea accessions at various population densities (line 13-14) Ecotype/Treatment Line-13 Line-14 1 5.44167 8.76667 2 0.02417 0.06583 3 135.75 157.333 4 15.5 12.8333 5 8 3 6 18 16 7 4 11 8 25 109 9 2.35 8 10 25.3333 33.8333 11 25.0667 45.25 12 4.23333 4.43333 13 10.6667 13.1667 14 9 18.5 15 6.35 21.5833 16 3.7 4.71667 17 9 11.1667 18 37.61 37.545 19 47.48 39.21 20 49 51.5 21 61 61 22 0.00839 0.03974 23 0.00253 0.01152 24 0.00073 0.0034 25 23055.7 20833.3 26 6882.52 6039.66 27 2005.71 1780.97 28 3.43024 2.77362 29 92.8963 218.155 30 143.902 328.97 Table 29: Provided are the values of each of the parameters (as described above) measured in B. juncea (grown in seven population densities (Populat. Density) under normal conditions. Param. = parameter.

TABLE 30 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal conditions at different densities across B. Juncea accessions Corr. Gene Exp. Set Gene Exp. Corr. Name R P value set ID Name R P value set Set ID LYD537 0.90 6.06E−03 2 9 LYD537 0.89 6.54E−03 2 8 LYD537 0.94 1.69E−03 2 1 LYD537 0.88 9.11E−03 2 7 LYD537 0.89 7.83E−03 2 15 LYD537 0.76 4.62E−02 2 16 LYD537 0.99 4.02E−05 2 24 LYD537 0.97 2.88E−04 2 13 LYD537 0.98 1.22E−04 2 29 LYD537 0.75 5.44E−02 2 11 LYD537 0.98 8.94E−05 2 2 LYD537 0.83 2.18E−02 2 14 LYD537 0.99 4.94E−05 2 23 LYD537 0.97 2.91E−04 2 30 LYD537 0.88 8.80E−03 2 21 LYD537 0.98 5.98E−05 2 22 LYD537 0.82 2.42E−02 2 17 LYD538 0.82 2.28E−02 2 9 LYD538 0.81 2.80E−02 2 8 LYD538 0.89 7.67E−03 2 1 LYD538 0.82 2.47E−02 2 7 LYD538 0.81 2.78E−02 2 15 LYD538 0.94 1.52E−03 2 24 LYD538 0.95 1.10E−03 2 13 LYD538 0.94 1.59E−03 2 29 LYD538 0.94 1.59E−03 2 2 LYD538 0.73 6.00E−02 2 14 LYD538 0.94 1.71E−03 2 23 LYD538 0.92 3.68E−03 2 30 LYD538 0.93 2.62E−03 2 21 LYD538 0.94 1.94E−03 2 22 LYD538 0.75 5.03E−02 2 17 LYD539 0.70 7.93E−02 2 9 LYD539 0.80 3.23E−02 2 8 LYD539 0.80 3.12E−02 2 15 LYD539 0.92 3.61E−03 2 16 LYD539 0.93 2.08E−03 2 12 LYD539 0.85 1.43E−02 2 11 LYD539 0.76 4.93E−02 2 14 LYD540 0.78 3.84E−02 2 6 LYD540 0.88 9.11E−03 2 5 Table 30. Provided are the correlations (R) between the expression levels of yield improving genes and their homologues in tissues [meristem and flower; Expression sets (Exp)] and the phenotypic performance in various yield, biomass, growth rate and/or vigor components [Correlation vector (corr.)] under stress conditions or normal conditions across B, juncea accessions. P = p value.

Example 8

Production of Sorghum Transcriptome and High Throughput Correlation Analysis with Abst Related Parameters Using 44K Sorghum Oligonucleotide Micro-Arrays

In order to produce a high throughput correlation analysis between plant phenotype and gene expression level, the present inventors utilized a sorghum oligonucleotide micro-array, produced by Agilent Technologies [Hypertext Transfer Protocol://World Wide Web (dot) chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 44,000 sorghum genes and transcripts. In order to define correlations between the levels of RNA expression with ABST, yield and NUE components or vigor related parameters, various plant characteristics of 17 different sorghum hybrids were analyzed. Among them, 10 hybrids encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [Hypertext Transfer Protocol://World Wide Web (dot) davidmlane (dot) com/hyperstat/A34739 (dot) html].

Correlation of Sorghum Varieties Across Ecotypes Grown Under Regular Growth Conditions, Severe Drought Conditions and Low Nitrogen Conditions

Experimental Procedures

17 Sorghum varieties were grown in 3 repetitive plots, in field. Briefly, the growing protocol was as follows:

1. Regular growth conditions: sorghum plants were grown in the field using commercial fertilization and irrigation protocols (370 liter per meter², fertilization of 14 units of 21% urea per entire growth period).

2. Drought conditions: sorghum seeds were sown in soil and grown under normal condition until around 35 days from sowing, around stage V8 (eight green leaves are fully expanded, booting not started yet). At this point, irrigation was stopped, and severe drought stress was developed.

3. Low Nitrogen fertilization conditions: sorghum plants were fertilized with 50% less amount of nitrogen in the field than the amount of nitrogen applied in the regular growth treatment. All the fertilizer was applied before flowering.

Analyzed Sorghum tissues—All 10 selected Sorghum hybrids were sample per each treatment. Tissues [Flag leaf, Flower meristem and Flower] from plants growing under normal conditions, severe drought stress and low nitrogen conditions were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 31 below.

TABLE 31 Sorghum transcriptome expression sets Expression Set Set ID Flag leaf Normal 1 Flower meristem Normal 2 Flower Normal 3 Flag leaf Low Nitrogen 4 Flower meristem Low Nitrogen 5 Flower Low Nitrogen 6 Flag leaf Drought 7 Flower meristem Drought 8 Flower Drought 9 Table 31: Provided are the sorghum transcriptome expression sets 1, 2, 3 and 4. Flag leaf = the leaf below the flower; Flower meristem = Apical meristem following panicle initiation; Flower = the flower at the anthesis day. Expression sets 1, 2 and 3 are from plants grown under normal conditions. Expression sets 4-6 derived from plants grown under low Nitrogen conditions. Expression sets 7-9 are from plants grown under drought conditions.

The following parameters were collected using digital imaging system:

At the end of the growing period the grains were separated from the Plant ‘Head’ and the following parameters were measured and collected:

Average Grain Area (cm²)—A sample of ˜200 grains were weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

(I) Upper and Lower Ratio Average of Grain Area, width, diameter and perimeter—Grain projection of area, width, diameter and perimeter were extracted from the digital images using open source package imagej (nih). Seed data was analyzed in plot average levels as follows:

Average of all seeds;

Average of upper 20% fraction—contained upper 20% fraction of seeds;

Average of lower 20% fraction—contained lower 20% fraction of seeds;

Further on, ratio between each fraction and the plot average was calculated for each of the data parameters.

At the end of the growing period 5 ‘Heads’ were, photographed and images were processed using the below described image processing system.

(II) Head Average Area (cm²)—At the end of the growing period 5 ‘Heads’ were, photographed and images were processed using the below described image processing system. The ‘Head’ area was measured from those images and was divided by the number of ‘Heads’.

(III) Head Average Length (cm)—At the end of the growing period 5 ‘Heads’ were, photographed and images were processed using the below described image processing system. The ‘Head’ length (longest axis) was measured from those images and was divided by the number of ‘Heads’.

(IV) Head Average width (cm)—At the end of the growing period 5 ‘Heads’ were, photographed and images were processed using the below described image processing system. The ‘Head’ width was measured from those images and was divided by the number of ‘Heads’.

(V) Head Average width (cm)—At the end of the growing period 5 ‘Heads’ were, photographed and images were processed using the below described image processing system. The ‘Head’ perimeter was measured from those images and was divided by the number of ‘Heads’.

The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at Hypertext Transfer Protocol://rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Additional parameters were collected either by sampling 5 plants per plot or by measuring the parameter across all the plants within the plot.

Total Grain Weight/Head (gr.) (grain yield)—At the end of the experiment (plant ‘Heads’) heads from plots within blocks A-C were collected. 5 heads were separately threshed and grains were weighted, all additional heads were threshed together and weighted as well. The average grain weight per head was calculated by dividing the total grain weight by number of total heads per plot (based on plot). In case of 5 heads, the total grains weight of 5 heads was divided by 5.

FW Head/Plant gram—At the end of the experiment (when heads were harvested) total and 5 selected heads per plots within blocks A-C were collected separately. The heads (total and 5) were weighted (gr.) separately and the average fresh weight per plant was calculated for total (FW Head/Plant gr. based on plot) and for 5 (FW Head/Plant gr. based on 5 plants).

Plant height—Plants were characterized for height during growing period at 5 time points. In each measure, plants were measured for their height using a measuring tape. Height was measured from ground level to top of the longest leaf.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 64 days post sowing. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

Vegetative fresh weight and Heads—At the end of the experiment (when Inflorescence were dry) all Inflorescence and vegetative material from plots within blocks A-C were collected. The biomass and Heads weight of each plot was separated, measured and divided by the number of Heads.

Plant biomass (Fresh weight)—At the end of the experiment (when Inflorescence were dry) the vegetative material from plots within blocks A-C were collected. The plants biomass without the Inflorescence were measured and divided by the number of Plants.

FW Heads/(FW Heads+FW Plants)—The total fresh weight of heads and their respective plant biomass were measured at the harvest day. The heads weight was divided by the sum of weights of heads and plants.

Experimental Results

17 different sorghum varieties were grown and characterized for different parameters: The average for each of the measured parameter was calculated using the JMP software (Tables 33-34) and a subsequent correlation analysis between the various transcriptome expression sets (Table 31) and the average parameters (Tables 33-34), was conducted (Table 35). Results were then integrated to the database.

TABLE 32 Sorghum correlated parameters (vectors) Correlated parameter with Correlation ID Total grain weight/Head gr (based on plot), Normal 1 Total grain weight/Head gr (based on 5 heads), Normal 2 Head Average Area (cm²), Normal 3 Head Average Perimeter (cm), Normal 4 Head Average Length (cm), Normal 5 Head Average Width (cm), Normal 6 Average Grain Area (cm²), Normal 7 Upper Ratio Average Grain Area, Normal 8 Lower Ratio Average Grain Area, Normal 9 Lower Ratio Average Grain Perimeter, Normal 10 Lower Ratio Average Grain Length, Normal 11 Lower Ratio Average Grain Width, Normal 12 Final Plant Height (cm), Normal 13 FW - Head/Plant gr (based on 5 plants), Normal 14 FW - Head/Plant gr (based on plot), Normal 15 FW/Plant gr (based on plot), Normal 16 Leaf SPAD 64 DPS (Days Post Sowing), Normal 17 FW Heads/(FW Heads + FW Plants) (all plot), Normal 18 [Plant biomass (FW)/SPAD 64 DPS], Normal 19 [Grain Yield + plant biomass/SPAD 64 DPS], Normal 20 [Grain yield/SPAD 64 DPS], Normal 21 Total grain weight/Head (based on plot) gr, Low N 22 Total grain weight/Head gr (based on 5 heads), Low N 23 Head Average Area (cm²), Low N 24 Head Average Perimeter (cm), Low N 25 Head Average Length (cm), Low N 26 Head Average Width (cm), Low N 27 Average Grain Area (cm²), Low N 28 Upper Ratio Average Grain Area, Low N 29 Lower Ratio Average Grain Area, Low N 30 Lower Ratio Average Grain Perimeter, Low N 31 Lower Ratio Average Grain Length, Low N 32 Lower Ratio Average Grain Width, Low N 33 Final Plant Height (cm), Low N 34 FW - Head/Plant gr (based on 5 plants), Low N 35 FW - Head/Plant gr (based on plot), Low N 36 FW/Plant gr (based on plot), Low N 37 Leaf SPAD 64 DPS (Days Post Sowing), Low N 38 FW Heads/(FW Heads + FW Plants)(all plot), Low N 39 [Plant biomass (FW)/SPAD 64 DPS], Low N 40 [Grain Yield + plant biomass/SPAD 64 DPS], Low N 41 [Grain yield/SPAD 64 DPS], Low N 42 Total grain weight/Head gr (based on plot) Drought 43 Head Average Area (cm²), Drought 44 Head Average Perimeter (cm), Drought 45 Head Average Length (cm), Drought 46 Head Average Width (cm), Drought 47 Average Grain Area (cm²), Drought 48 Upper Ratio Average Grain Area, Drought 49 Final Plant Height (cm), Drought 50 FW - Head/Plant gr (based on plot), Drought 51 FW/Plant gr (based on plot), Drought 52 Leaf SPAD 64 DPS (Days Post Sowing), Drought 53 FW Heads/(FW Heads + FW Plants)(all plot), Drought 54 [Plant biomass (FW)/SPAD 64 DPS], Drought 55 Table 32. Provided are the Sorghum correlated parameters (vectors), “gr.” = grams; “SPAD” = chlorophyll levels; “FW” = Plant Fresh weight; “normal” = standard growth conditions.

TABLE 33 Measured parameters in Sorghum accessions Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 Line-8 Line-9 1 31.12 26.35 18.72 38.38 26.67 28.84 47.67 31.00 39.99 2 47.40 46.30 28.37 70.40 32.15 49.23 63.45 44.45 56.65 3 120.14 167.60 85.14 157.26 104.00 102.48 168.54 109.32 135.13 4 61.22 67.90 56.26 65.38 67.46 67.46 74.35 56.16 61.64 5 25.58 26.84 21.02 26.84 23.14 21.82 31.33 23.18 25.70 6 5.97 7.92 4.87 7.43 5.58 5.88 6.78 5.99 6.62 7 0.10 0.11 0.13 0.13 0.14 0.14 0.11 0.11 0.10 8 1.22 1.30 1.13 1.14 1.16 1.15 1.19 1.23 1.25 9 0.83 0.74 0.78 0.80 0.70 0.70 0.83 0.81 0.84 10 0.91 0.87 0.91 0.95 0.90 0.91 0.91 0.91 0.92 11 0.91 0.88 0.92 0.91 0.89 0.88 0.91 0.90 0.92 12 0.91 0.83 0.85 0.87 0.79 0.80 0.90 0.89 0.91 13 95.25 79.20 197.85 234.20 189.40 194.67 117.25 92.80 112.65 14 406.50 518.00 148.00 423.00 92.00 101.33 423.50 386.50 409.50 15 175.15 223.49 56.40 111.62 67.34 66.90 126.18 107.74 123.86 16 162.56 212.59 334.83 313.46 462.28 318.26 151.13 137.60 167.98 17 43.01 . 43.26 44.74 45.76 41.61 45.21 45.14 43.03 18 0.51 0.51 0.12 0.26 0.12 0.18 0.46 0.43 0.42 19 0.72 0.43 0.86 0.58 0.69 1.05 0.69 0.93 0.84 20 4.50 8.17 7.87 10.68 8.34 4.40 3.74 4.83 3.67 21 3.78 7.74 7.01 10.10 7.65 3.34 3.05 3.90 2.83 22 25.95 30.57 19.37 35.62 25.18 22.18 49.96 27.48 51.12 23 50.27 50.93 36.13 73.10 37.87 36.40 71.67 35.00 76.73 24 96.24 214.72 98.59 182.83 119.64 110.19 172.36 84.81 156.25 25 56.32 79.20 53.25 76.21 67.27 59.49 79.28 51.52 69.88 26 23.22 25.58 20.93 28.43 24.32 22.63 32.11 20.38 26.69 27 5.26 10.41 5.93 8.25 6.19 6.12 6.80 5.25 7.52 28 0.11 0.11 0.14 0.12 0.14 0.13 0.12 0.12 0.12 29 1.18 1.31 1.11 1.21 1.19 1.18 1.16 1.23 1.17 30 0.82 0.77 0.81 0.79 0.78 0.80 0.83 0.79 0.81 31 0.90 0.88 0.92 0.90 0.92 0.92 0.92 0.89 0.90 32 0.91 0.90 0.92 0.90 0.91 0.93 0.92 0.89 0.90 33 0.90 0.85 0.89 0.88 0.86 0.87 0.91 0.89 0.90 34 104.00 80.93 204.73 125.40 225.40 208.07 121.40 100.27 121.13 35 388.00 428.67 297.67 280.00 208.33 303.67 436.00 376.33 474.67 36 214.78 205.05 73.49 122.96 153.07 93.23 134.11 77.43 129.63 37 204.78 199.64 340.51 240.60 537.78 359.40 149.20 129.06 178.71 38 38.33 38.98 42.33 40.90 43.15 39.85 42.68 43.31 39.01 39 0.51 0.51 0.17 0.39 0.21 0.19 0.48 0.37 0.42 40 5.34 5.12 8.05 5.88 12.46 9.02 3.50 2.98 4.58 41 6.02 5.91 8.50 6.75 13.05 9.58 4.67 3.61 5.89 42 0.68 0.78 0.46 0.87 0.58 0.56 1.17 0.63 1.31 43 22.11 16.77 9.19 104.44 3.24 22.00 9.97 18.58 29.27 44 83.14 107.79 88.68 135.91 90.76 123.95 86.06 85.20 113.10 45 52.78 64.49 56.59 64.37 53.21 71.66 55.61 52.96 69.83 46 21.63 21.94 21.57 22.01 20.99 28.60 21.35 20.81 24.68 47 4.83 6.31 5.16 7.78 5.28 5.49 5.04 5.07 5.77 48 0.10 0.11 0.11 0.09 0.09 0.11 49 1.31 1.19 1.29 1.46 1.21 1.21 50 89.40 75.73 92.10 94.30 150.80 110.73 99.20 84.00 99.00 51 154.90 122.02 130.51 241.11 69.03 186.41 62.11 39.02 58.94 52 207.99 138.02 255.41 402.22 233.55 391.75 89.31 50.61 87.02 53 40.58 40.88 45.01 42.30 45.24 40.56 44.80 45.07 40.65 54 0.42 0.47 0.42 0.37 0.23 0.31 0.41 0.44 0.40 55 5.13 3.38 5.67 9.51 5.16 9.66 1.99 1.12 2.14 Table 33: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (ecotype) under normal, low nitrogen and drought conditions. Growth conditions are specified in the experimental procedure section.

TABLE 34 Additional measured parameters in Sorghum accessions Treatment Ecotype Line-10 Line-11 Line-12 Line-13 Line-14 Line-15 Line-16 Line-17 1 38.36 32.10 32.69 32.79 51.53 35.71 38.31 42.44 2 60.00 45.45 58.19 70.60 70.10 53.95 59.87 52.65 3 169.03 156.10 112.14 154.74 171.70 168.51 162.51 170.46 4 71.40 68.56 56.44 67.79 71.54 78.94 67.03 74.11 5 28.82 28.13 22.97 28.09 30.00 30.54 27.17 29.26 6 7.42 6.98 6.19 7.02 7.18 7.00 7.39 7.35 7 0.12 0.12 0.11 0.12 0.11 0.10 0.11 0.11 8 1.24 1.32 1.22 1.18 1.18 1.22 1.25 1.22 9 0.79 0.77 0.80 0.81 0.82 0.81 0.82 0.82 10 0.93 0.91 0.92 0.90 0.91 0.90 0.91 0.91 11 0.92 0.89 0.91 0.91 0.91 0.90 0.90 0.91 12 0.85 0.86 0.88 0.90 0.90 0.91 0.90 0.90 13 97.50 98.00 100.00 105.60 151.15 117.10 124.45 126.50 14 328.95 391.00 435.75 429.50 441.00 415.75 429.50 428.50 15 102.75 82.33 77.59 91.17 150.44 109.10 107.58 130.88 16 128.97 97.62 99.32 112.24 157.42 130.55 135.66 209.21 17 45.59 44.83 45.33 46.54 43.99 45.09 45.14 43.13 18 0.44 0.46 0.45 0.45 0.51 0.46 0.44 0.39 19 0.72 0.72 0.70 1.17 0.79 0.85 0.98 20 2.89 2.91 3.12 4.75 3.69 3.85 5.84 21 2.18 2.19 2.41 3.58 2.90 3.01 4.85 22 36.84 29.45 26.70 29.42 51.12 37.04 39.85 41.78 23 57.58 42.93 36.47 68.60 71.80 49.27 43.87 52.07 24 136.71 137.70 96.54 158.19 163.95 138.39 135.46 165.64 25 66.17 67.37 57.90 70.61 73.76 66.87 65.40 75.97 26 26.31 25.43 23.11 27.87 28.88 27.64 25.52 30.33 27 6.59 6.85 5.32 7.25 7.19 6.27 6.57 6.82 28 0.13 0.13 0.12 0.12 0.11 0.11 0.12 0.11 29 1.22 1.24 1.19 1.23 1.16 1.34 1.21 1.21 30 0.77 0.74 0.80 0.79 0.82 0.80 0.81 0.81 31 0.91 0.89 0.90 0.90 0.91 0.89 0.90 0.90 32 0.91 0.89 0.90 0.89 0.91 0.89 0.89 0.90 33 0.86 0.84 0.90 0.89 0.91 0.90 0.90 0.90 34 94.53 110.00 115.07 104.73 173.67 115.60 138.80 144.40 35 437.67 383.00 375.00 425.00 434.00 408.67 378.50 432.00 36 99.83 76.95 84.25 92.24 138.83 113.32 95.50 129.49 37 124.27 101.33 132.12 117.90 176.99 143.67 126.98 180.45 38 42.71 40.08 43.98 45.44 44.75 42.58 43.81 46.73 39 0.44 0.43 0.39 0.44 0.44 0.44 0.43 0.42 40 2.91 2.53 3.00 2.60 3.96 3.38 2.90 3.86 41 3.77 3.26 3.61 3.24 5.10 4.25 3.81 4.76 42 0.86 0.73 0.61 0.65 1.14 0.87 0.91 0.89 43 10.45 14.77 12.86 18.24 11.60 18.65 16.36 44 100.79 80.41 126.89 86.41 92.29 77.89 76.93 45 65.14 55.27 69.06 53.32 56.29 49.12 51.88 46 24.28 21.95 24.98 19.49 20.42 16.81 18.88 47 5.37 4.66 6.35 5.58 5.76 5.86 5.10 48 49 50 92.20 81.93 98.80 86.47 99.60 83.00 83.53 92.30 51 76.37 33.47 42.20 41.53 131.67 60.84 44.33 185.44 52 120.43 37.21 48.18 44.20 231.60 116.01 123.08 342.50 53 45.43 42.58 44.18 44.60 42.41 43.25 40.30 40.75 54 0.44 0.47 0.47 0.48 0.35 0.35 0.23 0.33 55 2.65 0.87 1.09 0.99 5.46 2.68 3.05 8.40 Table 34: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (ecotype) under normal, low nitrogen and drought conditions. Growth conditions are specified in the experimental procedure section.

TABLE 35 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal or abiotic stress conditions across Sorghum accessions Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LYD604 0.71 3.28E−02 1 20 LYD605 0.72 2.91E−02 1 21 LYD605 0.73 2.49E−02 1 20 LYD606 0.73 1.60E−02 3 13 LYD606 0.90 4.05E−04 3 1 LYD606 0.70 2.31E−02 3 9 LYD606 0.90 4.24E−04 8 53 LYD606 0.76 1.04E−02 6 30 LYD606 0.70 2.29E−02 6 33 LYD606 0.78 8.33E−03 6 32 LYD606 0.82 3.87E−03 6 31 LYD606 0.81 7.55E−03 1 21 LYD606 0.84 4.28E−03 1 20 LYD606 0.92 1.57E−04 9 50 LYD606 0.72 1.90E−02 7 51 LYD607 0.71 2.11E−02 2 13 LYD607 0.71 2.10E−02 2 1 LYD607 0.82 3.42E−03 4 29 LYD607 0.86 1.33E−03 5 22 LYD607 0.85 1.86E−03 5 42 LYD607 0.80 5.95E−03 5 34 LYD608 0.88 9.15E−04 2 8 LYD608 0.82 4.05E−03 2 7 LYD608 0.86 1.29E−03 4 29 LYD608 0.71 2.22E−02 4 27 LYD608 0.77 8.57E−03 6 39 LYD608 0.75 1.30E−02 6 32 LYD608 0.72 1.77E−02 5 28 LYD608 0.80 9.74E−03 1 21 LYD608 0.83 5.67E−03 1 20 LYD609 0.76 1.04E−02 2 1 LYD609 0.79 6.60E−03 8 55 LYD609 0.71 2.15E−02 8 51 LYD609 0.80 5.47E−03 8 52 LYD609 0.74 1.46E−02 5 36 LYD609 0.74 1.38E−02 5 41 LYD609 0.76 1.04E−02 5 37 LYD610 0.89 6.35E−04 4 22 LYD610 0.78 7.43E−03 4 26 LYD610 0.83 2.67E−03 4 42 LYD610 0.71 2.21E−02 4 31 LYD610 0.81 4.83E−03 4 34 LYD610 0.78 1.41E−02 8 43 LYD610 0.77 1.61E−02 1 21 LYD610 0.78 7.89E−03 1 15 LYD610 0.77 1.48E−02 1 20 Table 35. Provided are the correlations (R) between the expression levels of yield improving genes and their homologues in tissues [Flag leaf, Flower meristem, stem and Flower; Expression sets (Exp)] and the phenotypic performance in various yield, biomass, growth rate and/or vigor components [Correlation vector (corr.)] under stress conditions (e.g., drought and low nitrogen) or normal conditions across Sorghum accessions. P = p value.

Example 9

Production of Soybean (Glycine Max) Transcriptome and High Throughput Correlation Analysis with Yield Parameters Using 44K B. Soybean Oligonucleotide Micro-Arrays

In order to produce a high throughput correlation analysis, the present inventors utilized a Soybean oligonucleotide micro-array, produced by Agilent Technologies [Hypertext Transfer Protocol://World Wide Web (dot) chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 42,000 Soybean genes and transcripts. In order to define correlations between the levels of RNA expression with yield components or plant architecture related parameters or plant vigor related parameters, various plant characteristics of 29 different Glycine max varieties were analyzed and 12 varieties were further used for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test.

Correlation of Glycine max Genes' Expression Levels with Phenotypic Characteristics Across Ecotype

Experimental Procedures

29 Soybean varieties were grown in three repetitive plots, in field. Briefly, the growing protocol was as follows: Soybean seeds were sown in soil and grown under normal conditions until harvest. In order to define correlations between the levels of RNA expression with yield components or plant architecture related parameters or vigor related parameters, 12 different Soybean varieties (out of 29 varieties) were analyzed and used for gene expression analyses. Analysis was performed at two pre-determined time periods: at pod set (when the soybean pods are formed) and at harvest time (when the soybean pods are ready for harvest, with mature seeds).

TABLE 36 Soybean transcriptome expression sets Expression Set Set ID Apical meristem at vegetative stage under normal growth 1 condition Leaf at vegetative stage under normal growth condition 2 Leaf at flowering stage under normal growth condition 3 Leaf at pod setting stage under normal growth condition 4 Root at vegetative stage under normal growth condition 5 Root at flowering stage under normal growth condition 6 Root at pod setting stage under normal growth condition 7 Stem at vegetative stage under normal growth condition 8 Stem at pod setting stage under normal growth condition 9 Flower bud at flowering stage under normal growth condition 10 Pod (R3-R4) at pod setting stage under normal growth condition 11 Table 36.

RNA extraction—All 12 selected Soybean varieties were sample per treatment. Plant tissues [leaf, root. Stem. Pod, apical meristem. Flower buds] growing under normal conditions were sampled and RNA was extracted as described above.

The collected data parameters were as follows:

Main branch base diameter [mm] at pod set—the diameter of the base of the main branch (based diameter) average of three plants per plot.

Fresh weight [gr/plant] at pod set—total weight of the vegetative portion above ground (excluding roots) before drying at pod set, average of three plants per plot.

Dry weight [gr/plant] at pod set—total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours at pod set, average of three plants per plot.

Total number of nodes with pods on lateral branches [value/plant]—counting of nodes which contain pods in lateral branches at pod set, average of three plants per plot.

Number of lateral branches at pod set [value/plant]—counting number of lateral branches at pod set, average of three plants per plot.

Total weight of lateral branches at pod set [gr/plant]—weight all lateral branches at pod set, average of three plants per plot.

Total weight of pods on main stem at pod set [gr/plant]—weight all pods on main stem at pod set, average of three plants per plot.

Total number of nodes on main stem [value/plant]—count of number of nodes on main stem starting from first node above ground, average of three plants per plot.

Total number of pods with 1 seed on lateral branches at pod set [value/plant]—count the number of pods containing 1 seed in all lateral branches at pod set, average of three plants per plot.

Total number of pods with 2 seeds on lateral branches at pod set [value/plant]—count the number of pods containing 2 seeds in all lateral branches at pod set, average of three plants per plot.

Total number of pods with 3 seeds on lateral branches at pod set [value/plant]—count the number of pods containing 3 seeds in all lateral branches at pod set, average of three plants per plot.

Total number of pods with 4 seeds on lateral branches at pod set [value/plant]—count the number of pods containing 4 seeds in all lateral branches at pod set, average of three plants per plot.

Total number of pods with 1 seed on main stem at pod set [value/plant]—count the number of pods containing 1 seed in main stem at pod set, average of three plants per plot.

Total number of pods with 2 seeds on main stem at pod set [value/plant]—count the number of pods containing 2 seeds in main stem at pod set, average of three plants per plot.

Total number of pods with 3 seeds on main stem at pod set [value/plant]—count the number of pods containing 3 seeds in main stem at pod set, average of three plants per plot.

Total number of pods with 4 seeds on main stem at pod set [value/plant]—count the number of pods containing 4 seeds in main stem at pod set, average of three plants per plot.

Total number of seeds per plant at pod set [value/plant]—count number of seeds in lateral branches and main stem at pod set, average of three plants per plot.

Total number of seeds on lateral branches at pod set [value/plant]—count total number of seeds on lateral branches at pod set, average of three plants per plot.

Total number of seeds on main stem at pod set [value/plant]—count total number of seeds on main stem at pod set, average of three plants per plot.

Plant height at pod set [cm/plant]—total length from above ground till the tip of the main stem at pod set, average of three plants per plot.

Plant height at harvest [cm/plant]—total length from above ground till the tip of the main stem at harvest, average of three plants per plot.

Total weight of pods on lateral branches at pod set [gr/plant]—weight of all pods on lateral branches at pod set, average of three plants per plot.

Ratio of the number of pods per node on main stem at pod set—calculated in Formula X, average of three plants per plot. Total number of pods on main stem/Total number of nodes on main stem, average of three plants per plot.  Formula X:

Ratio of total number of seeds in main stem to number of seeds on lateral branches—calculated in formula XI, average of three plants per plot. Total number of seeds on main stem at pod set/Total number of seeds on lateral branches at pod set.  Formula XI:

Total weight of pods per plant at pod set [gr/plant]—weight all pods on lateral branches and main stem at pod set, average of three plants per plot.

Days till 50% flowering [days]—number of days till 50% flowering for each plot.

Days till 100% flowering [days]—number of days till 100% flowering for each plot.

Maturity [days]—measure as 95% of the pods in a plot have ripened (turned 100% brown). Delayed leaf drop and green stems are not considered in assigning maturity. Tests are observed 3 days per week, every other day, for maturity. The maturity date is the date that 95% of the pods have reached final color. Maturity is expressed in days after August 31 [according to the accepted definition of maturity in USA, Descriptor list for SOYBEAN, Hypertext Transfer Protocol://World Wide Web (dot) ars-grin (dot) gov/cgi-bin/npgs/html/desclist (dot) p1?51].

Seed quality [ranked 1-5]—measure at harvest, a visual estimate based on several hundred seeds. Parameter is rated according to the following scores considering the amount and degree of wrinkling, defective coat (cracks), greenishness, and moldy or other pigment. Rating is 1-very good, 2-good, 3-fair, 4-poor, 5-very poor.

Lodging [ranked 1-5]—is rated at maturity per plot according to the following scores: 1-most plants in a plot are erected, 2-All plants leaning slightly or a few plants down, 3-all plants leaning moderately, or 25%-50% down, 4-all plants leaning considerably, or 50%-80% down, 5-most plants down. Note: intermediate score such as 1.5 are acceptable.

Seed size [gr]—weight of 1000 seeds per plot normalized to 13% moisture, measure at harvest.

Total weight of seeds per plant [gr/plant]—calculated at harvest (per 2 inner rows of a trimmed plot) as weight in grams of cleaned seeds adjusted to 13% moisture and divided by the total number of plants in two inner rows of a trimmed plot.

Yield at harvest [bushels/hectare]—calculated at harvest (per 2 inner rows of a trimmed plot) as weight in grams of cleaned seeds, adjusted to 13% moisture, and then expressed as bushels per acre.

Average lateral branch seeds per pod [number]—Calculate Number of Seeds on lateral branches—at pod set and divide by the Number of Total number of pods with seeds on lateral branches—at pod set.

Average main stem seeds per pod [number]—Calculate Total Number of Seeds on main stem at pod set and divide by the Number of Total number of pods with seeds on main stem at pod setting.

Main stem average internode length [cm]—Calculate Plant height at pod set and divide by the Total number of nodes on main stem at pod setting.

Total Number of pods with seeds on main stem [number]—count all pods containing seeds on the main stem at pod setting.

Total Number of pods with seeds on lateral branches [number]—count all pods containing seeds on the lateral branches at pod setting.

Total number of pods per plant at pod set [number]—count pods on main stem and lateral branches at pod setting.

Experimental Results

Twelve different Soybean varieties were grown and characterized for 40 parameters as specified above. The average for each of the measured parameters was calculated using the JMP software and values are summarized in Tables 38-39 below. Subsequent correlation analysis between the various transcriptome expression sets and the average parameters was conducted. Results were then integrated to the database (Table 40).

TABLE 37 Soybean correlated parameters (vectors) Correlated parameter with Correlation ID Base diameter at pod set (mm) 1 DW at pod set (gr) 2 fresh weight at pod set (gr) 3 Total number of nodes with pods on lateral branches 4 (number) Number of lateral branches (number) 5 Total weight of lateral branches at pod set (gr) 6 Total weight of pods on main stem at pod set (gr) 7 Total number of nodes on main stem (number) 8 Total no of pods with 1 seed on lateral branch (number) 9 Number of pods with 1 seed on main stem at pod set 10 (number) Total no of pods with 2 seed on lateral branch (number) 11 Number of pods with 2 seed on main stem (number) 12 Total no of pods with 3 seed on lateral branch (number) 13 Number of pods with 3 seed on main stem (number) 14 Total no of pods with 4 seed on lateral branch (number) 15 Number of pods with 4 seed on main stem (number) 16 Total number of seeds per plant 17 Total Number of Seeds on lateral branches 18 Total Number of Seeds on main stem at pod set 19 Plant height at pod set (cm) 20 Total weight of pods on lateral branches (gr) 21 Ratio number of pods per node on main stem (ratio) 22 Ratio number of seeds per main stem to seeds per lateral 23 branch (ratio) Total weight of pods per plant (gr) 24 50 percent flowering (days) 25 Maturity (days) 26 100 percent flowering (days) 27 Plant height at harvest (cm) 28 Seed quality (score 1-5) 29 Total weight of seeds per plant (gr/plant) 30 Seed size (gr) 31 Lodging (score 1-5) 32 yield at harvest (bushel/hectare) 33 Average lateral branch seeds per pod (number) 34 Average main stem seeds per pod (number) 35 Total number of pods with seeds on main stem at pod set 36 (number) Number pods with seeds on lateral branches-at pod set 37 (number) Total number of pods per plant at pod set (number) 38 Main stem average internode length (cm/number) 39 Corrected Seed size (gr) 40 Table 37.

TABLE 38 Measured parameters in Soybean varieties (lines 1-6) Treatment Ecotype Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 1 8.33 9.54 9.68 8.11 8.82 10.12 2 53.67 50.33 38.00 46.17 60.83 55.67 3 170.89 198.22 152.56 163.89 224.67 265.00 4 23.00 16.00 23.11 33.00 15.22 45.25 5 9.00 8.67 9.11 9.89 7.67 17.56 6 67.78 63.78 64.89 74.89 54.00 167.22 7 22.11 14.33 16.00 15.00 33.78 9.00 8 16.56 16.78 16.11 18.11 16.78 17.11 9 1.56 3.00 1.78 1.78 5.67 5.63 10 1.11 4.38 1.44 1.44 4.56 1.67 11 17.00 18.75 26.44 32.33 21.56 33.50 12 16.89 16.25 13.22 16.89 27.00 8.11 13 38.44 2.00 26.44 31.33 8.89 82.00 14 29.56 1.75 19.78 22.33 11.67 22.78 15 0.00 0.00 0.00 0.00 0.00 1.50 16 0.00 0.00 0.11 0.11 0.00 0.44 17 274.44 99.78 221.67 263.11 169.00 412.50 18 150.89 55.89 134.00 160.44 75.44 324.63 19 123.56 43.89 87.67 102.67 93.56 88.00 20 86.78 69.56 62.44 70.89 69.44 63.89 21 26.00 14.89 20.11 20.11 21.11 30.25 22 2.87 1.38 2.13 2.26 2.60 1.87 23 0.89 0.90 0.87 0.89 2.32 0.37 24 48.11 29.22 36.11 35.11 54.89 38.88 25 61.00 65.33 60.67 61.00 54.67 68.33 26 24.00 43.67 30.33 30.33 38.33 40.00 27 67.33 71.67 67.67 67.33 60.00 74.00 28 96.67 76.67 67.50 75.83 74.17 76.67 29 2.33 3.50 3.00 2.17 2.83 2.00 30 15.09 10.50 17.23 16.51 12.06 10.25 31 89.00 219.33 93.00 86.00 191.33 71.33 32 1.67 1.83 1.17 1.67 2.67 2.83 33 47.57 43.77 50.37 56.30 44.00 40.33 34 2.67 1.95 2.43 2.53 2.13 2.68 35 2.60 1.89 2.52 2.53 2.17 2.59 36 47.56 23.11 34.56 40.78 43.22 33.00 37 57.00 28.56 54.67 65.44 36.11 122.63 38 104.56 51.67 89.22 106.22 79.33 155.63 39 5.24 4.15 3.91 3.92 4.15 3.74 40 89.00 * 93.00 86.00 * 71.33 Table 38.

TABLE 39 Measured parameters in Soybean varieties (lines 7-12) Treatment Ecotype Line-7 Line-8 Line-9 Line-10 Line-11 Line-12 1 8.46 8.09 8.26 7.73 8.16 7.89 2 48.00 52.00 44.17 52.67 56.00 47.50 3 160.67 196.33 155.33 178.11 204.44 164.22 4 8.25 25.44 21.88 16.33 22.56 24.22 5 11.67 12.11 8.00 9.11 6.78 10.00 6 45.44 83.22 64.33 52.00 76.89 67.00 7 9.03 16.00 15.89 14.56 30.44 18.00 8 18.78 18.89 16.78 21.11 19.33 20.78 9 2.88 3.00 1.25 2.67 1.78 3.00 10 4.00 4.33 2.11 1.89 3.44 1.22 11 8.50 22.78 21.75 10.67 23.78 25.67 12 21.33 17.67 20.33 16.11 28.11 16.56 13 9.00 42.11 32.75 25.67 45.00 44.33 14 11.11 28.22 24.11 36.44 39.67 32.33 15 0.00 0.33 0.00 1.11 0.00 0.00 16 0.00 0.56 0.00 3.89 0.00 0.00 17 136.00 302.78 260.50 264.44 363.00 318.67 18 46.88 176.22 143.00 105.44 184.33 187.33 19 80.00 126.56 115.11 159.00 178.67 131.33 20 89.78 82.11 70.56 101.67 79.56 67.22 21 4.13 20.11 17.00 9.22 28.11 22.56 22 1.98 2.71 2.78 2.75 3.70 2.84 23 3.90 0.78 1.18 1.98 1.03 0.83 24 14.25 36.11 32.75 23.78 58.56 40.56 25 66.50 65.67 62.33 67.67 61.67 64.33 26 41.00 38.33 31.00 39.00 27.33 32.67 27 73.00 72.33 68.67 73.67 68.00 70.67 28 101.67 98.33 75.83 116.67 76.67 71.67 29 3.50 2.50 2.17 2.33 2.17 2.17 30 7.30 11.38 15.68 10.83 12.98 15.16 31 88.00 75.00 80.67 75.67 76.33 77.33 32 2.67 2.50 1.83 3.50 3.33 1.50 33 34.23 44.27 53.67 42.47 43.60 52.20 34 2.12 2.58 2.58 2.67 2.62 2.58 35 2.22 2.49 2.47 2.71 2.51 2.61 36 36.44 50.78 43.63 58.33 71.22 50.11 37 20.38 68.22 55.75 40.11 70.56 73.00 38 61.00 119.00 103.25 98.44 141.78 123.11 39 4.80 4.36 4.20 4.82 4.12 3.83 40 88.00 75.00 80.67 75.67 76.33 77.33 Table 39.

TABLE 40 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal conditions across soybean varieties Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LYD611 0.79 6.52E−03 7 3 LYD611 0.73 1.59E−02 7 1 LYD611 0.79 6.87E−03 5 3 LYD611 0.71 2.08E−02 5 2 LYD611 0.79 6.22E−03 5 32 LYD611 0.74 1.46E−02 5 15 LYD611 0.88 3.55E−03 9 16 LYD611 0.75 4.74E−03 1 3 LYD612 0.74 3.62E−02 9 30 LYD612 0.80 1.83E−02 9 33 LYD613 0.78 7.35E−03 8 13 LYD613 0.76 1.15E−02 8 18 LYD613 0.79 6.10E−03 8 5 LYD613 0.70 2.28E−02 8 17 LYD613 0.75 3.20E−02 9 8 LYD613 0.75 4.90E−03 10 23 LYD613 0.78 2.59E−03 10 9 LYD614 0.79 6.27E−03 7 30 LYD614 0.75 1.33E−02 7 33 LYD614 0.75 1.22E−02 5 8 LYD614 0.75 1.33E−02 8 13 LYD614 0.74 1.37E−02 8 18 LYD614 0.76 1.13E−02 8 5 LYD614 0.74 3.49E−02 9 30 LYD614 0.79 2.02E−02 9 33 LYD614 0.75 4.87E−03 1 20 LYD614 0.73 6.88E−03 10 6 LYD614 0.75 4.90E−03 10 4 LYD615 0.76 1.10E−02 7 20 LYD615 0.81 4.14E−03 7 28 LYD615 0.72 8.42E−03 11 29 LYD615 0.89 5.76E−04 5 14 LYD615 0.88 6.96E−04 5 19 LYD615 0.75 1.22E−02 5 22 LYD615 0.77 2.49E−02 9 5 LYD616 0.78 7.41E−03 8 3 LYD616 0.86 1.37E−03 8 15 LYD616 0.72 1.88E−02 8 6 LYD616 0.80 5.71E−03 8 9 LYD616 0.71 4.69E−02 9 30 LYD616 0.76 2.71E−02 9 33 LYD616 0.72 8.76E−03 4 7 LYD616 0.75 4.86E−03 10 13 LYD616 0.72 8.10E−03 10 18 LYD616 0.77 3.73E−03 10 17 LYD617 0.70 2.31E−02 7 30 LYD617 0.71 1.01E−02 11 30 LYD617 0.75 5.35E−03 11 33 LYD617 0.71 2.21E−02 5 18 LYD617 0.81 4.31E−03 5 6 LYD617 0.80 5.72E−03 5 5 LYD617 0.79 6.36E−03 5 4 LYD617 0.80 5.60E−03 5 1 LYD617 0.72 4.53E−02 9 30 LYD617 0.73 3.94E−02 9 24 LYD617 0.72 4.48E−02 9 19 LYD617 0.78 2.12E−02 9 22 LYD617 0.76 2.82E−02 9 7 LYD617 0.72 7.75E−03 1 12 LYD617 0.79 2.14E−03 1 24 LYD617 0.79 2.28E−03 1 7 LYD617 0.72 8.95E−03 10 33 LYD618 0.82 3.46E−03 7 13 LYD618 0.87 1.13E−03 7 18 LYD618 0.83 2.69E−03 7 11 LYD618 0.87 1.23E−03 7 6 LYD618 0.88 8.01E−04 7 4 LYD618 0.88 1.76E−04 11 30 LYD618 0.84 6.36E−04 11 33 LYD618 0.77 8.80E−03 5 13 LYD618 0.76 1.12E−02 5 18 LYD618 0.74 1.50E−02 5 4 LYD618 0.73 1.75E−02 5 17 LYD618 0.71 2.16E−02 8 12 LYD618 0.78 7.21E−03 8 7 LYD618 0.72 4.22E−02 9 14 LYD618 0.71 4.93E−02 9 16 LYD618 0.91 1.47E−03 9 13 LYD618 0.88 4.13E−03 9 18 LYD618 0.73 3.99E−02 9 11 LYD618 0.80 1.61E−02 9 3 LYD618 0.98 3.10E−05 9 15 LYD618 0.95 3.66E−04 9 6 LYD618 0.92 1.24E−03 9 5 LYD618 0.88 3.76E−03 9 4 LYD618 0.92 1.31E−03 9 17 LYD618 0.89 2.69E−03 9 9 LYD618 0.75 7.41E−03 2 13 LYD619 0.75 1.28E−02 7 23 LYD619 0.72 1.83E−02 5 12 LYD619 0.71 2.13E−02 5 19 LYD619 0.76 1.01E−02 5 22 LYD619 0.82 3.43E−03 8 15 LYD619 0.83 1.02E−02 9 7 LYD619 0.73 7.05E−03 4 14 LYD619 0.73 7.48E−03 4 13 LYD619 0.78 2.88E−03 4 17 LYD620 0.72 1.93E−02 7 8 LYD620 0.71 2.11E−02 7 20 LYD620 0.76 4.11E−03 11 8 LYD620 0.82 3.33E−03 5 29 LYD620 0.71 2.03E−02 5 19 LYD620 0.71 2.11E−02 8 18 LYD620 0.84 2.51E−03 8 3 LYD620 0.85 1.75E−03 8 15 LYD620 0.80 5.24E−03 8 6 LYD620 0.85 1.73E−03 8 5 LYD620 0.72 1.86E−02 8 4 LYD620 0.73 1.67E−02 8 1 LYD620 0.76 1.10E−02 8 9 LYD620 0.72 4.38E−02 9 8 LYD620 0.81 1.57E−02 9 10 LYD620 0.79 2.23E−03 1 3 LYD620 0.76 4.05E−03 1 9 LYD620 0.71 1.04E−02 10 33 LYD621 0.78 7.26E−03 5 14 LYD621 0.84 2.44E−03 5 19 LYD621 0.79 6.70E−03 5 22 LYD621 0.70 2.30E−02 8 13 LYD621 0.74 1.42E−02 8 18 LYD621 0.73 1.72E−02 8 3 LYD621 0.71 2.09E−02 8 15 LYD621 0.72 1.86E−02 8 6 LYD621 0.78 7.80E−03 8 4 LYD621 0.75 1.25E−02 8 9 LYD621 0.74 8.99E−03 2 22 LYD621 0.70 1.11E−02 4 14 LYD621 0.74 5.81E−03 4 33 LYD621 0.71 9.73E−03 4 22 LYD621 0.76 3.82E−03 1 22 LYD622 0.75 1.18E−02 7 33 LYD622 0.83 8.52E−04 11 30 LYD622 0.72 8.59E−03 11 33 LYD622 0.81 4.94E−03 5 23 LYD622 0.70 2.28E−02 8 14 LYD622 0.84 8.41E−03 9 12 LYD622 0.82 1.29E−02 9 3 LYD622 0.73 3.92E−02 9 7 LYD622 0.90 2.38E−03 9 15 LYD622 0.90 2.49E−03 9 6 LYD622 0.77 2.48E−02 9 5 LYD622 0.81 1.58E−02 9 4 LYD622 0.85 8.19E−03 9 1 LYD622 0.81 1.38E−02 9 9 LYD623 0.72 8.09E−03 11 19 LYD623 0.74 5.57E−03 11 22 LYD623 0.79 7.12E−03 8 30 LYD623 0.80 5.75E−03 8 33 LYD623 0.81 1.39E−02 9 30 LYD623 0.74 3.69E−02 9 22 LYD624 0.84 2.21E−03 7 13 LYD624 0.86 1.25E−03 7 18 LYD624 0.74 1.47E−02 7 11 LYD624 0.85 1.85E−03 7 6 LYD624 0.85 1.98E−03 7 4 LYD624 0.83 2.84E−03 7 21 LYD624 0.80 5.49E−03 7 17 LYD624 0.75 1.18E−02 5 20 LYD624 0.72 1.80E−02 5 28 LYD624 0.73 1.59E−02 8 18 LYD624 0.76 1.05E−02 8 15 LYD624 0.86 1.55E−03 8 6 LYD624 0.84 2.38E−03 8 4 LYD624 0.81 1.40E−02 9 33 LYD625 0.72 1.82E−02 5 23 LYD625 0.78 2.12E−02 9 8 LYD625 0.72 4.46E−02 9 19 LYD625 0.85 7.44E−03 9 15 LYD625 0.77 2.61E−02 9 6 LYD625 0.80 1.81E−02 9 5 LYD625 0.81 1.52E−02 9 1 LYD625 0.73 4.02E−02 9 9 LYD625 0.74 5.84E−03 4 14 LYD625 0.71 9.18E−03 4 7 LYD626 0.75 3.26E−02 9 30 LYD626 0.73 7.55E−03 4 6 LYD626 0.72 7.75E−03 4 5 LYD627 0.74 3.61E−02 9 30 LYD627 0.72 8.06E−03 1 11 LYD627 0.74 5.63E−03 10 2 LYD627 0.82 9.94E−04 10 32 LYD629 0.74 1.51E−02 5 16 LYD629 0.73 1.62E−02 5 26 LYD629 0.73 1.74E−02 5 32 LYD629 0.77 9.29E−03 8 15 LYD629 0.71 2.17E−02 8 9 LYD629 0.76 2.78E−02 9 7 LYD629 0.70 1.11E−02 4 15 LYD629 0.73 6.53E−03 4 17 LYD630 0.72 1.99E−02 7 5 LYD630 0.83 2.92E−03 8 13 LYD630 0.84 2.26E−03 8 18 LYD630 0.82 3.48E−03 8 4 LYD630 0.72 1.81E−02 8 21 LYD630 0.84 2.26E−03 8 17 LYD631 0.76 1.01E−02 5 30 LYD631 0.75 1.22E−02 5 19 LYD631 0.85 1.81E−03 5 22 LYD631 0.71 2.16E−02 8 9 LYD631 0.90 3.81E−04 8 31 LYD631 0.76 2.75E−02 9 23 LYD631 0.78 2.35E−02 9 31 LYD631 0.72 8.88E−03 4 15 LYD631 0.71 9.33E−03 1 7 LYD632 0.73 1.59E−02 7 30 LYD632 0.78 7.29E−03 7 33 LYD632 0.84 2.22E−03 5 15 LYD632 0.74 3.60E−02 9 33 LYD632 0.70 1.10E−02 1 16 LYD632 0.78 2.77E−03 1 20 LYD632 0.78 3.03E−03 1 28 LYD633 0.73 1.71E−02 5 11 LYD633 0.79 6.63E−03 5 3 LYD633 0.88 7.77E−04 5 9 LYD633 0.70 2.42E−02 8 3 LYD633 0.91 2.53E−04 8 15 LYD633 0.82 3.86E−03 8 6 LYD633 0.75 1.31E−02 8 5 LYD633 0.76 1.05E−02 8 4 LYD633 0.70 1.06E−02 1 16 LYD633 0.72 8.59E−03 1 15 LYD634 0.75 3.11E−02 9 8 LYD634 0.81 1.55E−03 1 8 LYD634 0.78 2.51E−03 1 20 LYD634 0.77 3.16E−03 10 14 LYD634 0.71 9.38E−03 10 19 LYD634 0.73 7.50E−03 10 17 LYD635 0.79 1.85E−02 9 14 LYD635 0.77 2.64E−02 9 8 LYD635 0.83 1.03E−02 9 19 LYD635 0.83 1.01E−02 9 22 LYD635 0.76 4.03E−03 1 8 LYD635 0.73 6.59E−03 10 19 LYD635 0.77 3.53E−03 10 22 LYD636 0.80 4.97E−03 8 14 LYD636 0.71 2.03E−02 8 13 LYD636 0.77 9.05E−03 8 17 LYD636 0.75 3.20E−02 9 14 LYD636 0.74 3.74E−02 9 22 LYD636 0.73 6.87E−03 1 14 LYD636 0.78 2.66E−03 10 14 LYD637 0.82 3.54E−03 8 1 LYD637 0.73 7.02E−03 10 31 LYD638 0.79 6.71E−03 7 11 LYD638 0.77 3.48E−03 11 30 LYD638 0.81 1.45E−03 11 33 LYD638 0.77 9.73E−03 8 13 LYD638 0.79 7.05E−03 8 18 LYD638 0.90 3.21E−04 8 15 LYD638 0.80 5.26E−03 8 6 LYD638 0.71 2.05E−02 8 5 LYD638 0.82 4.00E−03 8 4 LYD638 0.73 1.63E−02 8 17 LYD639 0.70 5.11E−02 9 12 LYD639 0.78 2.37E−02 9 24 LYD639 0.96 2.19E−04 9 7 LYD639 0.87 2.55E−04 10 8 LYD641 0.82 3.64E−03 5 13 LYD641 0.78 7.22E−03 5 18 LYD641 0.75 1.19E−02 5 15 LYD641 0.75 1.32E−02 5 6 LYD641 0.73 1.76E−02 5 4 LYD641 0.75 1.21E−02 5 17 LYD641 0.77 2.46E−02 9 16 LYD641 0.84 8.62E−03 9 13 LYD641 0.82 1.27E−02 9 18 LYD641 0.71 4.90E−02 9 15 LYD641 0.77 2.67E−02 9 5 LYD641 0.76 2.91E−02 9 4 LYD641 0.78 2.19E−02 9 17 LYD641 0.79 3.48E−03 2 13 LYD641 0.70 1.56E−02 2 17 LYD642 0.77 9.07E−03 7 32 LYD642 0.84 2.18E−03 5 8 LYD642 0.71 2.22E−02 5 19 LYD642 0.72 8.83E−03 1 31 LYD643 0.85 1.79E−03 8 3 LYD643 0.85 2.02E−03 8 15 LYD643 0.80 5.19E−03 8 6 LYD643 0.72 1.94E−02 8 5 LYD643 0.71 2.06E−02 8 4 LYD643 0.76 9.96E−03 8 9 LYD643 0.78 2.77E−03 1 3 LYD643 0.77 3.63E−03 1 9 LYD643 0.75 4.85E−03 10 3 LYD643 0.74 6.03E−03 10 2 LYD644 0.76 1.07E−02 7 3 LYD644 0.85 1.83E−03 7 9 LYD644 0.80 5.37E−03 8 16 LYD644 0.72 1.79E−02 8 20 LYD644 0.84 2.37E−03 8 15 LYD644 0.75 1.31E−02 8 28 LYD644 0.74 3.71E−02 9 30 LYD644 0.84 9.39E−03 9 33 LYD644 0.74 6.07E−03 10 26 LYD644 0.72 8.41E−03 10 25 LYD645 0.85 7.94E−03 9 14 LYD645 0.80 1.60E−02 9 30 LYD645 0.84 9.84E−03 9 19 LYD645 0.89 3.41E−03 9 22 LYD645 0.70 1.54E−02 2 20 LYD646 0.84 5.76E−04 11 8 LYD646 0.76 3.03E−02 9 30 LYD646 0.76 2.86E−02 9 33 LYD646 0.70 1.05E−02 10 13 LYD646 0.73 7.14E−03 10 18 LYD646 0.71 1.02E−02 10 4 LYD646 0.74 6.41E−03 10 17 LYD647 0.73 3.98E−02 9 14 LYD647 0.81 1.50E−02 9 19 LYD647 0.83 1.06E−02 9 22 LYD647 0.76 2.93E−02 9 7 LYD647 0.73 7.06E−03 10 13 LYD647 0.74 6.23E−03 10 18 LYD647 0.70 1.07E−02 10 15 LYD647 0.80 1.69E−03 10 6 LYD623 0.77 9.13E−03 3 40 LYD627 0.70 2.28E−02 1 40 LYD637 0.85 7.18E−03 5 40 LYD637 0.78 1.39E−02 2 40 LYD637 0.76 1.02E−02 8 40 LYD639 0.76 2.80E−02 4 40 LYD646 0.72 4.52E−02 4 40 Table 40. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, and plant architecture (Correlation vector (Corr))] under normal conditions across soybean varieties. P = p value.

Example 10

Production of Brachypodium Transcriptome and High Throughput Correlation Analysis Using 60K Brachypodium Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a brachypodium oligonucleotide micro-array, produced by Agilent Technologies [Hypertext Transfer Protocol://World Wide Web (dot) chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60K brachypodium genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 24 different brachypodium accessions were analyzed. Among them, 22 accessions encompassing the observed variance were selected for RNA expression analysis and comparative genomic hybridization (CGH) analysis.

The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [Hypertext Transfer Protocol://World Wide Web (dot) davidmlane (dot) com/hyperstat/A34739 (dot) html].

Additional correlation analysis was done by comparing plant phenotype and gene copy number. The correlation between the normalized copy number hybridization signal and the characterized parameters was analyzed using Pearson correlation test [Hypertext Transfer Protocol://World Wide Web (dot) davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

Analyzed Brachypodium tissues—two tissues [leaf and spike] were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 41 below.

TABLE 41 Brachypodium transcriptome expression sets Expression Set Set ID Leaf at flowering stage under normal growth conditions 1 + 2 spike at flowering stage under normal growth conditions 3 Table 41.

Brachypodium yield components and vigor related parameters assessment—24 brachypodium accessions were grown in 4-6 repetitive plots (8 plant per plot), in a green house. The growing protocol was as follows: brachypodium seeds were sown in plots and grown under normal conditions. Plants were continuously phenotyped during the growth period and at harvest (Table 43-48, below). The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [Hypertext Transfer Protocol://rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

At the end of the growing period the grains were separated from the spikes and the following parameters were measured using digital imaging system and collected:

No. of tillering—all tillers were counted per plant at harvest (mean per plot).

Head number—At the end of the experiment, heads were harvested from each plot and were counted.

Total Grains weight per plot (gr.)—At the end of the experiment (plant ‘Heads’) heads from plots were collected, the heads were threshed and grains were weighted. In addition, the average grain weight per head was calculated by dividing the total grain weight by number of total heads per plot (based on plot).

Highest number of spikelets—The highest spikelet number per head was calculated per plant (mean per plot).

Mean number of spikelets—The mean spikelet number per head was calculated per plot.

Plant Height—Each of the plants was measured for its height using measuring tape. Height was measured from ground level to spike base of the longest spike at harvest.

Spikelets weight (gr.)—The biomass and spikes weight of each plot was separated, measured per plot.

Average head weight—calculated by dividing spikelets weight with head number (gr.).

Harvest Index—The harvest index was calculated using Formula XII.

Spikelets Index—The Spikelets index is calculated using Formula XIII. Spikelets Index=Average Spikelets weight per plant/(Average vegetative dry weight per plant plus Average Spikelets weight per plant).  Formula XIII:

Percent Number of heads with spikelets—The number of heads with more than one spikelet per plant were counted and the percent from all heads per plant was calculated.

Total dry mater per plot—Calculated as Vegetative portion above ground plus all the spikelet dry weight per plot.

1000 grain weight—At the end of the experiment all grains from all plots were collected and weighted and the weight of 1000 were calculated.

The following parameters were collected using digital imaging system:

At the end of the growing period the grains were separated from the spikes and the following parameters were measured and collected:

(i) Average Grain Area (cm²)—A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

(ii) Average Grain Length, perimeter and width (cm)—A sample of ˜200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths and width (longest axis) was measured from those images and was divided by the number of grains.

The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at Hypertext Transfer Protocol://rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

TABLE 42 Brachypodium correlated parameters (vectors) Correlated parameter with Correlation ID % Number of heads with spikelets (number)  1 + 26 1000 grain weight (gr)  2 + 27 Average head weight (gr)  3 + 28 Grain area (cm²)  4 + 29 Grain length (cm)  5 + 30 Grain Perimeter (cm²)  6 + 31 Grain width (cm)  7 + 32 Grains weight per plant (gr)  8 + 33 Grains weight per plot (gr)  9 + 34 Harvest index 10 + 35 Heads per plant (number) 11 + 36 Heads per plot (number) 12 + 37 Highest Number of spikelets per plot (number) 13 + 38 Mean Number of spikelets per plot (number) 14 + 39 Number of heads with spikelets per plant (number) 15 + 40 Plant height (cm) 16 + 41 Plant Vegetative DW (gr) 17 + 42 Plants number (number) 18 + 43 Spikelets DW per plant (gr) 19 + 44 Spikelets weight (gr) 20 + 45 Spikes index 21 + 46 Tillering (number) 22 Total dry mater per plant (gr) 23 + 47 Total dry mater per plot (gr) 24 + 48 Vegetative DW (gr) 25 + 49 Table 42. Provided are the Brachypodium correlated parameters.

Experimental Results

24 different Brachypodium accessions were grown and characterized for different parameters as described above. The average for each of the measured parameters was calculated using the JMP software and values are summarized in Tables 43-48 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters (Tables 43-48) was conducted. Follow, results were integrated to the database.

TABLE 43 Measured parameters of correlation IDs in Brachypodium accessions under normal conditions (lines 1-9) Treatment Correlation ID Ecotype Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 Line-8 Line-9 1 27.61 35.33 21.67 52.40 20.84 47.73 17.55 16.51 5.42 2 3.75 3.78 3.35 3.70 3.90 4.87 4.82 4.76 5.54 3 0.06 0.04 0.05 0.09 0.04 0.09 0.06 0.06 0.04 4 0.10 0.10 0.09 0.09 0.09 0.11 0.10 0.11 0.11 5 0.73 0.72 0.72 0.75 0.72 0.87 0.79 0.79 0.83 6 1.67 1.62 1.62 1.65 1.60 1.90 1.80 1.82 1.82 7 0.18 0.17 0.17 0.15 0.15 0.16 0.17 0.18 0.16 8 0.14 0.06 0.08 0.35 0.27 0.44 0.32 0.07 0.14 9 1.05 0.44 0.61 2.58 2.03 3.40 2.58 0.39 1.11 10 0.13 0.14 0.15 0.21 0.17 0.18 0.15 0.11 0.20 11 16.29 7.08 6.59 16.11 21.40 17.05 25.88 8.02 10.48 12 121.75 56.60 52.75 123.50 156.83 135.0 207.00 48.60 82.40 13 3.00 2.60 3.00 2.83 2.33 4.50 2.60 2.00 2.00 14 2.10 2.10 1.72 2.17 1.85 2.85 1.93 1.56 1.38 15 5.27 2.50 2.06 9.44 5.02 7.72 4.90 1.87 0.71 16 31.65 23.44 22.75 45.35 29.41 46.74 38.39 29.15 34.36 17 0.42 0.12 0.13 0.82 0.67 1.05 0.87 0.31 0.32 18 7.50 8.00 8.00 7.50 7.33 7.88 8.00 6.40 7.80 19 0.96 0.31 0.33 1.46 0.96 1.42 1.56 0.45 0.44 20 7.18 2.50 2.68 11.31 7.16 11.05 12.44 2.66 3.45 21 0.71 0.72 0.73 0.68 0.60 0.57 0.65 0.60 0.58 22 16.84 7.20 7.00 16.99 23.61 18.25 27.20 8.60 10.67 23 1.38 0.43 0.47 2.28 1.63 2.47 2.43 0.76 0.76 24 10.26 3.45 3.74 17.78 12.29 19.27 19.40 4.47 6.00 25 3.08 0.95 1.06 6.47 5.13 8.23 6.96 1.81 2.55 Table 43. Correlation IDs refer to those described in Table 42 above [Brachypodium correlated parameters (vectors)].

TABLE 44 Measured parameters of correlation IDs in Brachypodium accessions under normal conditions (lines 10-18) Treatment Ecotype Line-10 Line-11 Line-12 Line-13 Line-14 Line-15 Line-16 Line-17 Line-18 1 15.42 14.00 6.40 4.51 15.52 20.34 8.11 53.21 55.41 2 4.98 4.88 4.83 5.54 4.73 5.24 4.96 4.00 3.84 3 0.06 0.07 0.05 0.04 0.05 0.05 0.06 0.10 0.08 4 0.11 0.09 0.10 0.11 0.10 0.12 0.10 0.10 0.10 5 0.82 0.74 0.78 0.90 0.75 0.86 0.74 0.84 0.75 6 1.83 1.69 1.74 1.93 1.69 1.91 1.71 1.81 1.68 7 0.17 0.16 0.17 0.16 0.17 0.19 0.17 0.15 0.17 8 0.14 0.26 0.14 0.11 0.39 0.14 0.13 0.37 0.08 9 1.07 1.96 1.09 0.84 3.07 1.09 1.07 2.99 0.50 10 0.16 0.20 0.14 0.26 0.22 0.09 0.18 0.09 0.07 11 9.09 11.63 14.13 5.88 23.75 16.06 9.74 22.19 11.89 12 70.13 83.40 110.33 47.00 185.50 125. 80.75 177.50 81.50 13 2.25 2.20 1.83 2.00 2.50 2.40 2.00 3.50 3.50 14 1.65 1.69 1.43 1.25 1.76 1.83 1.42 2.71 2.41 15 1.94 2.08 1.08 0.35 4.98 3.70 0.89 12.58 7.59 16 28.65 31.95 28.88 24.74 37.30 45.09 22.39 55.04 31.40 17 0.32 0.38 0.39 0.13 0.87 0.69 0.34 1.72 0.44 18 7.75 7.20 7.83 8.00 7.75 8.00 8.25 8.00 6.50 19 0.56 0.88 0.67 0.26 1.14 0.83 0.59 2.27 0.92 20 4.29 6.42 5.29 2.04 8.89 6.65 4.92 18.15 6.25 21 0.66 0.71 0.64 0.66 0.59 0.54 0.68 0.56 0.69 22 9.38 11.97 14.58 6.35 25.50 16.56 10.53 27.15 12.38 23 0.88 1.25 1.06 0.38 2.01 1.53 0.93 3.99 1.36 24 6.78 9.12 8.34 3.04 15.79 12.20 7.76 31.94 9.21 25 2.48 2.69 3.05 1.00 6.89 5.55 2.84 13.80 2.96 Table 44. Correlation IDs refer to those described in Table 42 above [Brachypodium correlated parameters (vectors)].

TABLE 45 Measured parameters of correlation IDs in Brachypodium accessions under normal conditions (lines 19-22) Ecotype/Treatment Line-19 Line-20 Line-21 Line-22 1 47.81 42.81 59.01 34.92 2 4.26 5.99 3.76 4.34 3 0.08 0.08 0.09 0.06 4 0.09 0.12 0.09 0.09 5 0.80 0.84 0.76 0.74 6 1.75 1.87 1.68 1.66 7 0.14 0.18 0.15 0.16 8 0.49 0.31 0.30 0.20 9 3.52 2.41 1.92 1.47 10 0.16 0.18 0.09 0.11 11 24.32 13.25 25.54 19.22 12 172.80 98.60 177.00 143.17 13 3.80 2.80 3.17 2.83 14 2.61 2.12 2.79 2.15 15 12.13 6.35 15.36 7.15 16 45.34 40.20 58.82 39.18 17 1.32 0.48 1.73 0.63 18 7.00 7.60 6.83 7.33 19 1.91 1.09 2.25 1.26 20 13.49 8.35 15.55 9.42 21 0.59 0.70 0.57 0.66 22 26.30 13.56 29.09 20.79 23 3.23 1.57 3.98 1.89 24 22.78 12.04 27.67 14.14 25 9.28 3.70 12.12 4.72 Table 45. Correlation IDs refer to those described in Table 51 above [Brachypodium correlated parameters (vectors)].

TABLE 46 Measured parameters of correlation IDs in Brachypodium accessions under normal conditions (lines 23-30) Treatment Ecotype Line-23 Line-24 Line-25 Line-26 Line-27 Line-28 Line-29 Line-30 26 27.61 35.33 21.67 14.00 5.42 15.42 6.40 4.51 27 3.75 3.78 3.35 4.88 5.54 4.98 4.83 5.54 28 0.06 0.04 0.05 0.07 0.04 0.06 0.05 0.04 29 0.10 0.10 0.09 0.09 0.11 0.11 0.10 0.11 30 0.73 0.72 0.72 0.74 0.83 0.82 0.78 0.90 31 1.67 1.62 1.62 1.69 1.82 1.83 1.74 1.93 32 0.18 0.17 0.17 0.16 0.16 0.17 0.17 0.16 33 0.14 0.06 0.08 0.26 0.14 0.14 0.14 0.11 34 1.05 0.44 0.61 1.96 1.11 1.07 1.09 0.84 35 0.13 0.14 0.15 0.20 0.20 0.16 0.14 0.26 36 16.29 7.08 6.59 11.63 10.48 9.09 14.13 5.88 37 121.75 56.60 52.75 83.40 82.40 70.13 110.33 47.00 38 3.00 2.60 3.00 2.20 2.00 2.25 1.83 2.00 39 2.10 2.10 1.72 1.69 1.38 1.65 1.43 1.25 40 5.27 2.50 2.06 2.08 0.71 1.94 1.08 0.35 41 31.65 23.44 22.75 31.95 34.36 28.65 28.88 24.74 42 0.42 0.12 0.13 0.38 0.32 0.32 0.39 0.13 43 7.50 8.00 8.00 7.20 7.80 7.75 7.83 8.00 44 0.96 0.31 0.33 0.88 0.44 0.56 0.67 0.26 45 7.18 2.50 2.68 6.42 3.45 4.29 5.29 2.04 46 0.71 0.72 0.73 0.71 0.58 0.66 0.64 0.66 22 16.84 7.20 7.00 11.97 10.67 9.38 14.58 6.35 47 1.38 0.43 0.47 1.25 0.76 0.88 1.06 0.38 48 10.26 3.45 3.74 9.12 6.00 6.78 8.34 3.04 49 3.08 0.95 1.06 2.69 2.55 2.48 3.05 1.00 Table 46. Correlation IDs refer to those described in Table 42 above [Brachypodium correlated parameters (vectors)].

TABLE 47 Measured parameters of correlation IDs in Brachypodium accessions under normal conditions (lines 31-40) Treatment Ecotype Line-31 Line-32 Line-33 Line-34 Line-35 Line-36 Line-37 Line-38 Line-39 Line-40 26 55.41 16.51 15.52 20.34 8.11 53.21 47.81 42.81 34.92 52.40 27 3.84 4.76 4.73 5.24 4.96 4.00 4.26 5.99 4.34 3.70 28 0.08 0.06 0.05 0.05 0.06 0.10 0.08 0.08 0.06 0.09 29 0.10 0.11 0.10 0.12 0.10 0.10 0.09 0.12 0.09 0.09 30 0.75 0.79 0.75 0.86 0.74 0.84 0.80 0.84 0.74 0.75 31 1.68 1.82 1.69 1.91 1.71 1.81 1.75 1.87 1.66 1.65 32 0.17 0.18 0.17 0.19 0.17 0.15 0.14 0.18 0.16 0.15 33 0.08 0.07 0.39 0.14 0.13 0.37 0.49 0.31 0.20 0.35 34 0.50 0.39 3.07 1.09 1.07 2.99 3.52 2.41 1.47 2.58 35 0.07 0.11 0.22 0.09 0.18 0.09 0.16 0.18 0.11 0.21 36 11.89 8.02 23.75 16.06 9.74 22.19 24.32 13.25 19.22 16.11 37 81.50 48.60 185.50 125.00 80.75 177.50 172.80 98.6 143.17 123.5 38 3.50 2.00 2.50 2.40 2.00 3.50 3.80 2.80 2.83 2.83 39 2.41 1.56 1.76 1.83 1.42 2.71 2.61 2.12 2.15 2.17 40 7.59 1.87 4.98 3.70 0.89 12.58 12.13 6.35 7.15 9.44 41 31.40 29.15 37.30 45.09 22.39 55.04 45.34 40.20 39.18 45.35 42 0.44 0.31 0.87 0.69 0.34 1.72 1.32 0.48 0.63 0.82 43 6.50 6.40 7.75 8.00 8.25 8.00 7.00 7.60 7.33 7.50 44 0.92 0.45 1.14 0.83 0.59 2.27 1.91 1.09 1.26 1.46 45 6.25 2.66 8.89 6.65 4.92 18.15 13.49 8.35 9.42 11.31 46 0.69 0.60 0.59 0.54 0.68 0.56 0.59 0.70 0.66 0.68 22 12.38 8.60 25.50 16.56 10.53 27.15 26.30 13.56 20.79 16.99 47 1.36 0.76 2.01 1.53 0.93 3.99 3.23 1.57 1.89 2.28 48 9.21 4.47 15.79 12.20 7.76 31.94 22.78 12.04 14.14 17.78 49 2.96 1.81 6.89 5.55 2.84 13.8 9.28 3.70 4.72 6.47 Table 47. Correlation IDs refer to those described in Table 42 above [Brachypodium correlated parameters (vectors)].

TABLE 48 Measured parameters of correlation IDs in Brachypodium accessions under normal conditions (lines 41-44) Ecotype/Treatment Line-41 Line-42 Line-43 Line-44 26 20.84 17.55 47.73 59.01 27 3.90 4.82 4.87 3.76 28 0.04 0.06 0.09 0.09 29 0.09 0.10 0.11 0.09 30 0.72 0.79 0.87 0.76 31 1.60 1.80 1.90 1.68 32 0.15 0.17 0.16 0.15 33 0.27 0.32 0.44 0.30 34 2.03 2.58 3.40 1.92 35 0.17 0.15 0.18 0.09 36 21.40 25.88 17.05 25.54 37 156.83 207.00 135.00 177.00 38 2.33 2.60 4.50 3.17 39 1.85 1.93 2.85 2.79 40 5.02 4.90 7.72 15.36 41 29.41 38.39 46.74 58.82 42 0.67 0.87 1.05 1.73 43 7.33 8.00 7.88 6.83 44 0.96 1.56 1.42 2.25 45 7.16 12.44 11.05 15.55 46 0.60 0.65 0.57 0.57 22 23.61 27.20 18.25 29.09 47 1.63 2.43 2.47 3.98 48 12.29 19.40 19.27 27.67 49 5.13 6.96 8.23 12.12 Table 48. Correlation IDs refer to those described in Table 42 above [Brachypodium correlated parameters (vectors)].

TABLE 49 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal conditions across brachypodium varieties Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LYD542 0.80 3.32E−03 2 46 LYD543 0.75 1.17E−02 3 30 LYD543 0.75 1.22E−02 3 31 LYD544 0.72 8.85E−03 1 8 LYD544 0.73 7.10E−03 1 9 LYD544 0.71 1.39E−02 2 29 LYD545 0.82 1.84E−03 2 37 LYD545 0.86 7.41E−04 2 22 LYD545 0.79 3.49E−03 2 48 LYD545 0.80 3.10E−03 2 44 LYD545 0.80 3.05E−03 2 49 LYD545 0.82 1.88E−03 2 42 LYD545 0.79 4.13E−03 2 40 LYD545 0.78 4.87E−03 2 45 LYD545 0.83 1.68E−03 2 36 LYD545 0.82 2.17E−03 2 47 LYD546 0.70 1.06E−02 1 8 LYD546 0.78 2.93E−03 1 9 Table 49. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Corr))] under normal conditions across brachypodium varieties. P = p value.

Example 11

Plant Fiber Development in Cotton Production of Cotton Transcriptome and High Throughput Correlation Analysis Using Cotton Oligonucleotide Microarray

In order to conduct high throughput gene expression correlation analysis, the present inventors used cotton oligonucleotide microarray, designed and produced by “Comparative Evolutionary Genomics of Cotton” [Hypertext Transfer Protocol (http)://cottonevolution (dot) info/). This Cotton Oligonucleotide Microarray is composed of 12,006 Integrated DNA Technologies (IDT) oligonucleotides derived from an assembly of more than 180,000 Gossypium ESTs sequenced from 30 cDNA libraries. For additional details see PCT/IL2005/000627 and PCT/IL2007/001590 which are fully incorporated herein by reference.

TABLE 50 Cotton transcriptome experimental sets Expression Set Set ID Fiber 15 days after anthesis under normal growth conditions 1 Fiber 5 days after anthesis under normal growth conditions 2 Fiber 10 days after anthesis under normal growth conditions 3 Table 50. Provided are the cotton transcriptome expression sets.

In order to define correlations between the levels of RNA expression and fiber length, fibers from 8 different cotton lines were analyzed. These fibers were selected showing very good fiber quality and high lint index (Pima types, originating from other cotton species, namely G. barbadense), different levels of quality and lint indexes from various G. hirsutum lines: good quality and high lint index (Acala type), and poor quality and short lint index (Tamcot type, and old varieties). A summary of the fiber length of the different lines is provided in Table 51.

Experimental Procedures

RNA extraction—Fiber development stages, representing different fiber characteristics, at 5, 10 and 15 DPA were sampled and RNA was extracted as described above.

Fiber length assessment—Fiber length of the selected cotton lines was measured using fibrograph. The fibrograph system was used to compute length in terms of “Upper Half Mean” length. The upper half mean (UHM) is the average length of longer half of the fiber distribution. The fibrograph measures length in span lengths at a given percentage point World Wide Web (dot) cottoninc (dot) com/ClassificationofCotton/?Pg=4#Length].

Experimental Results

Eight different cotton lines were grown, and their fiber length was measured. The fibers UHM values are summarized in Table 51 herein below. The R square was calculated for each of the genes.

TABLE 51 Summary of the fiber length of the 8 different cotton lines Treatment Ecotype Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 Line-8 1 1.21 1.1 1.36 1.26 0.89 1.01 1.06 1.15 Table 51: Presented are the means 8 different cotton lines.

TABLE 52 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal conditions across cotton ecotypes Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LYD554 0.90 2.19E−03 1 1 LYD555 0.73 3.82E−02 1 1 LYD555 0.85 1.50E−02 3 1 Table 52. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Corr))] under normal conditions across cotton ecotypes. P = p value.

Example 12

Identification of Genes which Increase Yield, Biomass, Growth Rate, Vigor, Oil Content, Abiotic Stress Tolerance of Plants and Nitrogen Use Efficiency

Based on the above described bioinformatics and experimental tools, the present inventors have identified 164 genes which have a major impact on yield, seed yield, oil yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, abiotic stress tolerance, and/or nitrogen use efficiency when expression thereof is increased in plants. The identified genes (including genes identified by bioinformatics tools and curated sequences thereof), and polypeptide sequences encoded thereby are summarized in Table 53, hereinbelow.

TABLE 53 Identified polynucleotides which affect plant yield, seed yield, oil yield, oil content, biomass, growth rate, vigor, fiber yield, fiber quality abiotic stress tolerance and/or nitrogen use efficiency of a plant Polyn. Polyp SEQ SEQ Gene Name Organism/Cluster tag ID NO: ID NO: LYD521 arabidopsis|10v1|AT1G08410 1 362 LYD522 arabidopsis|10v1|AT1G19110 2 363 LYD524 arabidopsis|10v1|AT2G20340 3 364 LYD525 arabidopsis|10v1|AT2G45030 4 365 LYD526 arabidopsis|10v1|AT2G45730 5 366 LYD527 arabidopsis|10v1|AT2G47920 6 367 LYD528 arabidopsis|10v1|AT3G15650 7 368 LYD529 arabidopsis|10v1|AT4G00500 8 369 LYD530 arabidopsis|10v1|AT4G13110 9 370 LYD531 arabidopsis|10v1|AT4G16146 10 371 LYD532 arabidopsis|10v1|AT5G02830 11 372 LYD533 arabidopsis|10v1|AT5G06700 12 373 LYD534 arabidopsis|10v1|AT5G43150 13 374 LYD535 arabidopsis|10v1|AT5G46790 14 375 LYD536 arabidopsis|10v1|AT5G65280 15 376 LYD537 b_juncea|10v2|E6ANDIZ01AI14E 16 377 LYD538 b_juncea|10v2|E6ANDIZ01AWH6F 17 378 LYD539 b_juncea|10v2|E6ANDIZ01B0PVK 18 379 LYD540 b_juncea|10v2|E6ANDIZ01CQ2ZQ 19 380 LYD541 b_rapa|11v1|BQ704427 20 381 LYD542 brachypodium|09v1|DV480497 21 382 LYD543 brachypodium|09v1|GT759735 22 383 LYD544 brachypodium|09v1|GT835824 23 384 LYD545 brachypodium|09v1|GT841411 24 385 LYD546 brachypodium|09v1|SRR031797S0017542 25 386 LYD547 canola|10v1|CD822163 26 387 LYD548 canola|10v1|CX192172 27 388 LYD549 canola|10v1|EE556201 28 389 LYD550 canola|11v1|DY020414 29 390 LYD551 canola|11v1|EE429972 30 391 LYD552 canola|11v1|EE440823 31 392 LYD553 canola|11v1|EE481252 32 393 LYD554 cotton|10v2|DN804535 33 394 LYD555 cotton|11v1|CO098912 34 395 LYD556 lotus|09v1|AW719664 35 396 LYD558 medicago|09v1|LLAW329230 36 397 LYD559 medicago|11v1|AI083094 37 398 LYD560 medicago|11v1|AI974457 38 399 LYD561 medicago|11v1|AJ388759 39 400 LYD562 medicago|11v1|AL368425 40 401 LYD563 medicago|11v1|AL370319 41 402 LYD564 medicago|11v1|AL372358 42 403 LYD565 medicago|11v1|AL383170 43 404 LYD566 medicago|11v1|AL384827 44 405 LYD567 medicago|11v1|AW125911 45 406 LYD568 medicago|11v1|AW126198 46 407 LYD570 medicago|11v1|AW299069 47 408 LYD571 medicago|11v1|AW299099 48 409 LYD572 medicago|11v1|AW683620 49 410 LYD573 medicago|11v1|AW684312 50 411 LYD574 medicago|11v1|AW686798 51 412 LYD575 medicago|11v1|AW688064 52 413 LYD576 medicago|11v1|AW688428 53 414 LYD577 medicago|11v1|AW690765 54 415 LYD578 medicago|11v1|AW691134 55 416 LYD579 medicago|11v1|AW695894 56 417 LYD580 medicago|11v1|AW775280 57 418 LYD581 medicago|11v1|AW980738 58 419 LYD583 medicago|11v1|BE204527 59 420 LYD584 medicago|11v1|BE325825 60 421 LYD585 medicago|11v1|BE942833 61 422 LYD586 medicago|11v1|BE998813 62 423 LYD587 medicago|11v1|BF005808 63 424 LYD588 medicago|11v1|BF640823 64 425 LYD589 medicago|11v1|BG644974 65 426 LYD590 medicago|11v1|BQ139188 66 427 LYD591 medicago|11v1|EV259134 67 428 LYD592 medicago|11v1|XM_003625686 68 429 LYD593 medicago|12v1|AL366306 69 430 LYD594 medicago|12v1|BF633538 70 431 LYD595 rice|gb170|OS01G51360 71 432 LYD596 rice|gb170|OS01G70930 72 433 LYD597 rice|gb170|OS02G22020 73 434 LYD598 rice|gb170|OS03G12840 74 435 LYD599 rice|gb170|OS04G40100 75 436 LYD600 rice|gb170|OS06G01200 76 437 LYD601 rice|gb170|OS06G04250 77 438 LYD602 rice|gb170|OS06G33810 78 439 LYD603 rice|gb170|OS08G29170 79 440 LYD604 sorghum|09v1|SB01G049980 80 441 LYD605 sorghum|09v1|SB02G037340 81 442 LYD606 sorghum|09v1|SB03G025590 82 443 LYD607 sorghum|09v1|SB03G037600 83 444 LYD608 sorghum|09v1|SB06G006920 84 445 LYD609 sorghum|09v1|SB09G025850 85 446 LYD610 sorghum|11v1|SB01G036260 86 447 LYD611 soybean|11v1|GLYMA01G02290 87 448 LYD612 soybean|11v1|GLYMA02G02070 88 449 LYD613 soybean|11v1|GLYMA02G04840 89 450 LYD614 soybean|11v1|GLYMA02G42250 90 451 LYD615 soybean|11v1|GLYMA03G27800 91 452 LYD616 soybean|11v1|GLYMA03G36910 92 453 LYD617 soybean|11v1|GLYMA03G37120 93 454 LYD618 soybean|11v1|GLYMA03G41760 94 455 LYD619 soybean|11v1|GLYMA04G38690 95 456 LYD620 soybean|11v1|GLYMA05G00370 96 457 LYD621 soybean|11v1|GLYMA05G34620 97 458 LYD622 soybean|11v1|GLYMA06G03760 98 459 LYD623 soybean|11v1|GLYMA06G05880 99 460 LYD624 soybean|11v1|GLYMA06G11430 100 461 LYD625 soybean|11v1|GLYMA07G27370 101 462 LYD626 soybean|11v1|GLYMA08G14740 102 463 LYD627 soybean|11v1|GLYMA08G39520 103 464 LYD628 soybean|11v1|GLYMA09G27600 104 465 LYD629 soybean|11v1|GLYMA09G30190 105 466 LYD630 soybean|11v1|GLYMA09G35750 106 467 LYD631 soybean|11v1|GLYMA09G36720 107 468 LYD632 soybean|11v1|GLYMA10G40890 108 469 LYD633 soybean|11v1|GLYMA12G02590 109 470 LYD633 soybean|11v1|GLYMA12G02590 109 543 LYD634 soybean|11v1|GLYMA12G09830 110 471 LYD635 soybean|11v1|GLYMA13G04780 111 472 LYD636 soybean|11v1|GLYMA13G18990 112 473 LYD637 soybean|11v1|GLYMA13G22160 113 474 LYD638 soybean|11v1|GLYMA13G41580 114 475 LYD639 soybean|11v1|GLYMA14G32430 115 476 LYD640 soybean|11v1|GLYMA14G35690 116 477 LYD641 soybean|11v1|GLYMA15G02690 117 478 LYD642 soybean|11v1|GLYMA15G15380 118 479 LYD643 soybean|11v1|GLYMA16G03140 119 480 LYD644 soybean|11v1|GLYMA17G01400 120 481 LYD645 soybean|11v1|GLYMA17G02420 121 482 LYD646 soybean|11v1|GLYMA17G10240 122 483 LYD647 soybean|11v1|GLYMA18G15530 123 484 LYD648 tomato|10v1|AI780847 124 485 LYD650 tomato|11v1|AF204783 125 486 LYD651 tomato|11v1|AF211784 126 487 LYD652 tomato|11v1|AI771255 127 488 LYD653 tomato|11v1|AI778101 128 489 LYD654 tomato|11v1|AI782247 129 490 LYD655 tomato|11v1|AI896168 130 491 LYD657 tomato|11v1|AW030194 131 492 LYD658 tomato|11v1|AW094631 132 493 LYD659 tomato|11v1|AW217526 133 494 LYD660 tomato|11v1|AW616260 134 495 LYD661 tomato|11v1|AW616620 135 496 LYD662 tomato|11v1|AW618546 136 497 LYD663 tomato|11v1|AY376851 137 498 LYD664 tomato|11v1|BE460507 138 499 LYD665 tomato|11v1|BF097728 139 500 LYD666 tomato|11v1|BG123259 140 501 LYD667 tomato|11v1|BG123287 141 502 LYD668 tomato|11v1|BG125390 142 503 LYD669 tomato|11v1|BG125858 143 504 LYD670 tomato|11v1|BG126384 144 505 LYD671 tomato|11v1|BG129734 145 506 LYD672 tomato|11v1|BG131939 146 507 LYD673 tomato|11v1|BG132287 147 508 LYD674 tomato|11v1|BG133722 148 509 LYD675 tomato|11v1|BG134175 149 510 LYD676 tomato|11v1|BG135207 150 511 LYD677 tomato|11v1|BG592613 151 512 LYD678 tomato|11v1|BG626546 152 513 LYD679 tomato|11v1|BG628242 153 514 LYD680 tomato|11v1|BG628985 154 515 LYD681 tomato|11v1|BG630045 155 516 LYD682 tomato|11v1|BG630298 156 517 LYD683 tomato|11v1|BG643762 157 518 LYD684 tomato|11v1|BG734982 158 519 LYD685 tomato|11v1|BI210592 159 520 LYD686 tomato|11v1|BI405665 160 521 LYD687 tomato|11v1|BM066565 161 522 LYD688 tomato|11v1|BM067954 162 523 LYD689 tomato|11v1|BQ512926 163 524 LYD690 tomato|11v1|DV623174 164 525 LYD539_H11 arabidopsis|10v1|AT2G35260 165 526 LYD532 arabidopsis|10v1|AT5G02830 166 527 LYD535 arabidopsis|10v1|AT5G46790 167 375 LYD538 b_juncea|10v2|E6ANDIZ01AWH6F 168 528 LYD539 b_juncea|10v2|E6ANDIZ01B0PVK 169 529 LYD540 b_juncea|10v2|E6ANDIZ01CQ2ZQ 170 530 LYD541 b_rapa|11v1|BQ704427 171 381 LYD544 brachypodium|09v1|GT835824 172 531 LYD546 brachypodium|09v1|SRR031797S0017542 173 532 LYD548 canola|10v1|CX192172 174 533 LYD549 canola|10v1|EE556201 175 534 LYD550 canola|11v1|DY020414 176 535 LYD552 canola|11v1|EE440823 177 392 LYD553 canola|11v1|EE481252 178 536 LYD567 medicago|11v1|AW125911 179 406 LYD581 medicago|11v1|AW980738 180 419 LYD584 medicago|11v1|BE325825 181 537 LYD587 medicago|11v1|BF005808 182 538 LYD589 medicago|11v1|BG644974 183 426 LYD591 medicago|11v1|EV259134 184 428 LYD592 medicago|11v1|XM_003625686 185 539 LYD595 rice|gb170|OS01G51360 186 432 LYD597 rice|gb170|OS02G22020 187 434 LYD600 rice|gb170|OS06G01200 188 437 LYD604 sorghum|09v1|SB01G049980 189 441 LYD606 sorghum|09v1|SB03G025590 190 443 LYD616 soybean|11v1|GLYMA03G36910 191 453 LYD619 soybean|11v1|GLYMA04G38690 192 540 LYD628 soybean|11v1|GLYMA09G27600 193 541 LYD632 soybean|11v1|GLYMA10G40890 194 542 LYD654 tomato|11v1|AI782247 195 544 LYD663 tomato|11v1|AY376851 196 498 LYD676 tomato|11v1|BG135207 197 545 LYD681 tomato|11v1|BG630045 198 516 LYD685 tomato|11v1|BI210592 199 520 LYD687 tomato|11v1|BM066565 200 522 LYD690 tomato|11v1|DV623174 201 546 LYD521 arabidopsis|10v1|AT1G08410 202 362 LYD522 arabidopsis|10v1|AT1G19110 203 363 LYD524 arabidopsis|10v1|AT2G20340 204 364 LYD525 arabidopsis|10v1|AT2G45030 205 365 LYD526 arabidopsis|10v1|AT2G45730 206 366 LYD579 medicago|11v1|AW695894 255 568 LYD580 medicago|11v1|AW775280 256 569 LYD581 medicago|11v1|AW980738 257 419 LYD583 medicago|11v1|BE204527 258 570 LYD584 medicago|11v1|BE325825 259 421 LYD585 medicago|11v1|BE942833 260 422 LYD586 medicago|11v1|BE998813 261 423 LYD587 medicago|11v1|BF005808 262 571 LYD588 medicago|11v1|BF640823 263 572 LYD589 medicago|11v1|BG644974 264 573 LYD591 medicago|11v1|EV259134 265 574 LYD592 medicago|11v1|XM_003625686 266 575 LYD593 medicago|12v1|AL366306 267 576 LYD594 medicago|12v1|BF633538 268 577 LYD595 rice|gb170|OS01G51360 269 432 LYD596 rice|gb170|OS01G70930 270 433 LYD597 rice|gb170|OS02G22020 271 434 LYD598 rice|gb170|OS03G12840 272 435 LYD599 rice|gb170|OS04G40100 273 436 LYD600 rice|gb170|OS06G01200 274 437 LYD601 rice|gb170|OS06G04250 275 438 LYD602 rice|gb170|OS06G33810 276 439 LYD603 rice|gb170|OS08G29170 277 440 LYD604 sorghum|09v1|SB01G049980 278 441 LYD605 sorghum|09v1|SB02G037340 279 578 LYD606 sorghum|09v1|SB03G025590 280 443 LYD607 sorghum|09v1|SB03G037600 281 444 LYD608 sorghum|09v1|SB06G006920 282 445 LYD609 sorghum|09v1|SB09G025850 283 446 LYD610 sorghum|11v1|SB01G036260 284 447 LYD611 soybean|11v1|GLYMA01G02290 285 448 LYD612 soybean|11v1|GLYMA02G02070 286 449 LYD613 soybean|11v1|GLYMA02G04840 287 450 LYD614 soybean|11v1|GLYMA02G42250 288 451 LYD615 soybean|11v1|GLYMA03G27800 289 452 LYD616 soybean|11v1|GLYMA03G36910 290 453 LYD617 soybean|11v1|GLYMA03G37120 291 454 LYD618 soybean|11v1|GLYMA03G41760 292 579 LYD619 soybean|11v1|GLYMA04G38690 293 580 LYD620 soybean|11v1|GLYMA05G00370 294 457 LYD621 soybean|11v1|GLYMA05G34620 295 458 LYD622 soybean|11v1|GLYMA06G03760 296 459 LYD623 soybean|11v1|GLYMA06G05880 297 460 LYD624 soybean|11v1|GLYMA06G11430 298 461 LYD625 soybean|11v1|GLYMA07G27370 299 462 LYD626 soybean|11v1|GLYMA08G14740 300 463 LYD627 soybean|11v1|GLYMA08G39520 301 464 LYD628 soybean|11v1|GLYMA09G27600 302 465 LYD629 soybean|11v1|GLYMA09G30190 303 466 LYD630 soybean|11v1|GLYMA09G35750 304 467 LYD631 soybean|11v1|GLYMA09G36720 305 468 LYD632 soybean|11v1|GLYMA10G40890 306 581 LYD633 soybean|11v1|GLYMA12G02590 307 470 LYD634 soybean|11v1|GLYMA12G09830 308 471 LYD635 soybean|11v1|GLYMA13G04780 309 472 LYD636 soybean|11v1|GLYMA13G18990 310 473 LYD637 soybean|11v1|GLYMA13G22160 311 582 LYD638 soybean|11v1|GLYMA13G41580 312 475 LYD639 soybean|11v1|GLYMA14G32430 313 476 LYD640 soybean|11v1|GLYMA14G35690 314 477 LYD641 soybean|11v1|GLYMA15G02690 315 583 LYD642 soybean|11v1|GLYMA15G15380 316 479 LYD643 soybean|11v1|GLYMA16G03140 317 480 LYD644 soybean|11v1|GLYMA17G01400 318 481 LYD645 soybean|11v1|GLYMA17G02420 319 482 LYD646 soybean|11v1|GLYMA17G10240 320 584 LYD647 soybean|11v1|GLYMA18G15530 321 484 LYD648 tomato|10v1|AI780847 322 485 LYD650 tomato|11v1|AF204783 323 585 LYD651 tomato|11v1|AF211784 324 586 LYD652 tomato|11v1|AI771255 325 587 LYD654 tomato|11v1|AI782247 326 490 LYD655 tomato|11v1|AI896168 327 491 LYD657 tomato|11v1|AW030194 328 492 LYD658 tomato|11v1|AW094631 329 493 LYD659 tomato|11v1|AW217526 330 494 LYD660 tomato|11v1|AW616260 331 588 LYD661 tomato|11v1|AW616620 332 496 LYD662 tomato|11v1|AW618546 333 497 LYD663 tomato|11v1|AY376851 334 498 LYD664 tomato|11v1|BE460507 335 499 LYD665 tomato|11v1|BF097728 336 589 LYD666 tomato|11v1|BG123259 337 590 LYD667 tomato|11v1|BG123287 338 591 LYD668 tomato|11v1|BG125390 339 592 LYD669 tomato|11v1|BG125858 340 504 LYD670 tomato|11v1|BG126384 341 505 LYD671 tomato|11v1|BG129734 342 593 LYD672 tomato|11v1|BG131939 343 507 LYD673 tomato|11v1|BG132287 344 594 LYD674 tomato|11v1|BG133722 345 509 LYD675 tomato|11v1|BG134175 346 595 LYD676 tomato|11v1|BG135207 347 596 LYD677 tomato|11v1|BG592613 348 512 LYD678 tomato|11v1|BG626546 349 513 LYD679 tomato|11v1|BG628242 350 597 LYD680 tomato|11v1|BG628985 351 598 LYD681 tomato|11v1|BG630045 352 516 LYD682 tomato|11v1|BG630298 353 517 LYD683 tomato|11v1|BG643762 354 599 LYD684 tomato|11v1|BG734982 355 519 LYD685 tomato|11v1|BI210592 356 600 LYD686 tomato|11v1|BI405665 357 521 LYD688 tomato|11v1|BM067954 358 601 LYD689 tomato|11v1|BQ512926 359 524 LYD690 tomato|11v1|DV623174 360 525 LYD539_H11 arabidopsis|10v1|AT2G35260 361 526 Table 53: Provided are the identified genes, their annotation (cluster tag), organism and polynucleotide and polypeptide sequence identifiers, “polyn.” = polynucleotide; “polyp.” = polypeptide.

Example 13

Identification of Homologous Sequences that Increase Seed Yield, Oil Yield, Growth Rate, Oil Content, Fiber Yield, Fiber Quality, Biomass, Vigor, Abst and/or Nue of a Plant

The concepts of orthology and paralogy have recently been applied to functional characterizations and classifications on the scale of whole-genome comparisons.

Orthologs and paralogs constitute two major types of homologs: The first evolved from a common ancestor by specialization, and the latter are related by duplication events. It is assumed that paralogs arising from ancient duplication events are likely to have diverged in function while true orthologs are more likely to retain identical function over evolutionary time.

To identify putative orthologs of the genes affecting plant yield, oil yield, oil content, seed yield, growth rate, vigor, biomass, abiotic stress tolerance and/or nitrogen use efficiency, all sequences were aligned using the BLAST (Basic Local Alignment Search Tool). Sequences sufficiently similar were tentatively grouped. These putative orthologs were further organized under a Phylogram—a branching diagram (tree) assumed to be a representation of the evolutionary relationships among the biological taxa. Putative ortholog groups were analyzed as to their agreement with the phylogram and in cases of disagreements these ortholog groups were broken accordingly.

Expression data was analyzed and the EST libraries were classified using a fixed vocabulary of custom terms such as developmental stages (e.g., genes showing similar expression profile through development with up regulation at specific stage, such as at the seed filling stage) and/or plant organ (e.g., genes showing similar expression profile across their organs with up regulation at specific organs such as seed). The annotations from all the ESTs clustered to a gene were analyzed statistically by comparing their frequency in the cluster versus their abundance in the database, allowing the construction of a numeric and graphic expression profile of that gene, which is termed “digital expression”. The rationale of using these two complementary methods with methods of phenotypic association studies of QTLs, SNPs and phenotype expression correlation is based on the assumption that true orthologs are likely to retain identical function over evolutionary time. These methods provide different sets of indications on function similarities between two homologous genes, similarities in the sequence level—identical amino acids in the protein domains and similarity in expression profiles.

The search and identification of homologous genes involves the screening of sequence information available, for example, in public databases such as the DNA Database of Japan (DDBJ), Genbank, and the European Molecular Biology Laboratory Nucleic Acid Sequence Database (EMBL) or versions thereof or the MIPS database. A number of different search algorithms have been developed, including but not limited to the suite of programs referred to as BLAST programs. There are five implementations of BLAST, three designed for nucleotide sequence queries (BLASTN, BLASTX, and TBLASTX) and two designed for protein sequence queries (BLASTP and TBLASTN) (Coulson, Trends in Biotechnology: 76-80, 1994; Birren et al., Genome Analysis, I: 543, 1997). Such methods involve alignment and comparison of sequences. The BLAST algorithm calculates percent sequence identity and performs a statistical analysis of the similarity between the two sequences. The software for performing BLAST analysis is publicly available through the National Centre for Biotechnology Information. Other such software or algorithms are GAP, BESTFIT, FASTA and TFASTA. GAP uses the algorithm of Needleman and Wunsch (J. Mol. Biol. 48: 443-453, 1970) to find the alignment of two complete sequences that maximizes the number of matches and minimizes the number of gaps.

The homologous genes may belong to the same gene family. The analysis of a gene family may be carried out using sequence similarity analysis. To perform this analysis one may use standard programs for multiple alignments e.g. Clustal W. A neighbour-joining tree of the proteins homologous to the genes in this invention may be used to provide an overview of structural and ancestral relationships. Sequence identity may be calculated using an alignment program as described above. It is expected that other plants will carry a similar functional gene (ortholog) or a family of similar genes and those genes will provide the same preferred phenotype as the genes presented here. Advantageously, these family members may be useful in the methods of the invention. Example of other plants are included here but not limited to, barley (Hordeum vulgare), Arabidopsis (Arabidopsis thaliana), maize (Zea mays), cotton (Gossypium), Oilseed rape (Brassica napus), Rice (Oryza sativa), Sugar cane (Saccharum officinarum), Sorghum (Sorghum bicolor), Soybean (Glycine max), Sunflower (Helianthus annuus), Tomato (Lycopersicon esculentum), Wheat (Triticum aestivum).

The above-mentioned analyses for sequence homology can be carried out on a full-length sequence, but may also be based on a comparison of certain regions such as conserved domains. The identification of such domains, would also be well within the realm of the person skilled in the art and would involve, for example, a computer readable format of the nucleic acids of the present invention, the use of alignment software programs and the use of publicly available information on protein domains, conserved motifs and boxes. This information is available in the PRODOM (Hypertext Transfer Protocol://World Wide Web (dot) biochem (dot) ucl (dot) ac (dot) uk/bsm/dbbrowser/protocol/prodomqry (dot) html), PR (Hypertext Transfer Protocol://pir (dot) Georgetown (dot) edu/) or Pfam (Hypertext Transfer Protocol://World Wide Web (dot) sanger (dot) ac (dot) uk/Software/Pfam/) database.

Sequence analysis programs designed for motif searching may be used for identification of fragments, regions and conserved domains as mentioned above. Preferred computer programs include, but are not limited to, MEME, SIGNALSCAN, and GENESCAN.

A person skilled in the art may use the homologous sequences provided herein to find similar sequences in other species and other organisms. Homologues of a protein encompass, peptides, oligopeptides, polypeptides, proteins and enzymes having amino acid substitutions, deletions and/or insertions relative to the unmodified protein in question and having similar biological and functional activity as the unmodified protein from which they are derived. To produce such homologues, amino acids of the protein may be replaced by other amino acids having similar properties (conservative changes, such as similar hydrophobicity, hydrophilicity, antigenicity, propensity to form or break a-helical structures or 3-sheet structures). Conservative substitution tables are well known in the art (see for example Creighton (1984) Proteins. W.H. Freeman and Company). Homologues of a nucleic acid encompass nucleic acids having nucleotide substitutions, deletions and/or insertions relative to the unmodified nucleic acid in question and having similar biological and functional activity as the unmodified nucleic acid from which they are derived.

Polynucleotides and polypeptides with significant homology to the identified genes described in Table 53 (Example 12 above) were identified from the databases using BLAST software with the Blastp and tBlastn algorithms as filters for the first stage, and the needle (EMBOSS package) or Frame+ algorithm alignment for the second stage. Local identity (Blast alignments) was defined with a very permissive cutoff—60% Identity on a span of 60% of the sequences lengths because it is used only as a filter for the global alignment stage. The default filtering of the Blast package was not utilized (by setting the parameter “−F F”).

In the second stage, homologs were defined based on a global identity of at least 80% to the core gene polypeptide sequence. Two distinct forms for finding the optimal global alignment for protein or nucleotide sequences were used in this application:

1. Between Two Proteins (Following the Blastp Filter):

EMBOSS-6.0.1 Needleman-Wunsch algorithm with the following modified parameters: gapopen=8 gapextend=2. The rest of the parameters were unchanged from the default options described hereinabove.

2. Between a Protein Sequence and a Nucleotide Sequence (Following the tblastn Filter):

GenCore 6.0 OneModel application utilizing the Frame+ algorithm with the following parameters: model=frame+_p2n.model mode=qglobal -q=protein.sequence -db=nucleotide.sequence. The rest of the parameters are unchanged from the default options described hereinabove.

The query polypeptide sequences were SEQ ID NOs: 362-601 (which are encoded by the polynucleotides SEQ ID NOs: 1-361, shown in Table 53 above) and the identified orthologous and homologous sequences having at least 80% global sequence identity are provided in Table 54, below. These homologous genes are expected to increase plant yield, seed yield, oil yield, oil content, growth rate, fiber yield, fiber quality, biomass, vigor, ABST and/or NUE of a plant.

TABLE 54 Homologous polynucleotides and polypeptides which can increase plant yield, seed yield, oil yield, oil content, growth rate, fiber yield, fiber quality, biomass, vigor, ABST and/or NUE of a plant Hom. To % Gene SEQ ID global Name Organism/Cluster tag P.N. P.P. NO: identity Algor. LYD521_H1 arabidopsis_lyrata|09v1|JGIAL000805_P1 602 2429 362 95.9 globlastp LYD521_H2 thellungiella_parvulum|11v1|BY806918 603 2430 362 89.2 globlastp LYD521_H3 thellungiella_halophilum|11v1|BY806918 604 2431 362 88.3 globlastp LYD521_H6 b_rapa|11v1|CD813110_P1 605 2432 362 85.6 globlastp LYD521_H4 canola|11v1|EE468045_P1 606 2433 362 85.2 globlastp LYD521_H5 canola|11v1|ES952287_T1 607 2434 362 82.37 glotblastn LYD522_H1 arabidopsis_lyrata|09v1|JGIAL002005_P1 608 2435 363 96.9 globlastp LYD522_H2 thellungiella_halophilum|11v1|BQ079260 609 2436 363 92.1 globlastp LYD522_H3 thellungiella_parvulum|11v1|BQ079260 610 2437 363 90.8 globlastp LYD522_H4 canola|11v1|FG573664_T1 611 2438 363 89.27 glotblastn LYD522_H7 b_rapa|11v1|DY013296_P1 612 2439 363 89 globlastp LYD522_H8 b_rapa|11v1|EE443767_P1 613 2440 363 88.4 globlastp LYD522_H5 canola|11v1|ES902667_T1 614 2441 363 88.39 glotblastn LYD522_H6 canola|11v1|EE443767_P1 615 2442 363 87.6 globlastp LYD522_H9 b_rapa|11v1|ES270429_P1 616 2443 363 87.2 globlastp LYD524_H1 arabidopsis_lyrata|09v1|JGIAL012501_P1 617 2444 364 97.1 globlastp LYD524_H6 b_rapa|11v1|E6ANDIZ01A63NK_P1 618 2445 364 89.8 globlastp LYD524_H2 thellungiella_halophilum|11v1|EHJGI11021169 619 2446 364 89.6 globlastp LYD524_H3 thellungiella_halophilum|11v1|EHJGI11027144 620 2447 364 87.8 globlastp LYD524_H7 b_rapa|11v1|CD822356_P1 621 2448 364 86.8 globlastp LYD524_H8 b_rapa|11v1|ES908014_P1 622 2449 364 85.7 globlastp LYD524_H4 radish|gb164|EV536118 623 2450 364 84.8 globlastp LYD524_H5 thellungiella_parvulum|11v1|EPCRP013365 624 2451 364 82.3 globlastp LYD524_H9 b_rapa|11v1|SRR001111.64443_P1 625 2452 364 81.8 globlastp LYD525_H1 arabidopsis_lyrata|09v1|JGIAL015890_P1 626 2453 365 98.7 globlastp LYD525_H2 arabidopsis|10v1|AT1G45332_P1 627 2454 365 98.7 globlastp LYD525_H3 thellungiella_halophilum|11v1|BY819164 628 2455 365 95.5 globlastp LYD525_H4 thellungiella_parvulum|11v1|BY819164 629 2456 365 94.2 globlastp LYD525_H38 b_rapa|11v1|AT000510_P1 630 2457 365 92.7 globlastp LYD525_H5 cacao|10v1|CU478363_P1 631 2458 365 87.3 globlastp LYD525_H39 cotton|11v1|DT462624_P1 632 2459 365 86.3 globlastp LYD525_H6 cotton|10v2|SRR032367S0023872 633 2460 365 86.3 globlastp LYD525_H40 gossypium_raimondii|12v1|DT462624_P1 634 2461 365 86.1 globlastp LYD525_H41 cotton|11v1|DT047985_P1 635 2462 365 86 globlastp LYD525_H42 gossypium_raimondii|12v1|ES825881_P1 636 2463 365 86 globlastp LYD525_H43 bean|12v1|CB539945_P1 637 2464 365 85.3 globlastp LYD525_H44 chickpea|11v1|GR393166_P1 638 2465 365 84.8 globlastp LYD525_H7 grape|11v1|GSVIVT01018186001_P1 639 2466 365 84.5 globlastp LYD525_H45 beech|11v1|SRR006294.21324_P1 640 2467 365 84.4 globlastp LYD525_H8 cotton|10v2|SRR032367S0009321 641 2468 365 84.2 globlastp LYD525_H9 apple|11v1|CN899815_P1 642 2469 365 84.1 globlastp LYD525_H10 clementine|11v1|DY261585_P1 643 2470 365 84 globlastp LYD525_H11 orange|11v1|DY261585_P1 644 2470 365 84 globlastp LYD525_H12 cucumber|09v1|DV631607_P1 645 2471 365 83.9 globlastp LYD525_H13 amsonia|11v1|SRR098688X113063_T1 646 2472 365 83.66 glotblastn LYD525_H14 poplar|10v1|BI136702_P1 647 2473 365 83.6 globlastp LYD525_H15 aquilegia|10v2|DT749020_P1 648 2474 365 83.4 globlastp LYD525_H16 eucalyptus|11v2|SRR001659X12134_P1 649 2475 365 83.3 globlastp LYD525_H17 watermelon|11v1|AM716765 650 2476 365 83.2 globlastp LYD525_H18 prunus|10v1|CN899815 651 2477 365 83.1 globlastp LYD525_H19 euphorbia|11v1|DV149525_P1 652 2478 365 82.9 globlastp LYD525_H20 cassava|09v1|JGICASSAVA2572VALIDM1_P1 653 2479 365 82.5 globlastp LYD525_H21 strawberry|11v1|DV439076 654 2480 365 82.3 globlastp LYD525_H22 tomato|11v1|AW032413 655 2481 365 82.3 globlastp LYD525_H46 poppy|11v1|SRR030259.126125_T1 656 2482 365 82.26 glotblastn LYD525_H47 banana|12v1|MAGEN2012034630_P1 657 2483 365 82 globlastp LYD525_H23 vinca|11v1|SRR098690X120383 658 2484 365 82 globlastp LYD525_H24 valeriana|11v1|SRR099039X102865 659 2485 365 81.87 glotblastn LYD525_H25 potato|10v1|BG591483_P1 660 2486 365 81.8 globlastp LYD525_H26 solanum_phureja|09v1|SPHAW032413 661 2486 365 81.8 globlastp LYD525_H48 medicago|12v1|BF634704_P1 662 2487 365 81.7 globlastp LYD525_H27 poplar|10v1|CX282997_T1 663 2488 365 81.44 glotblastn LYD525_H28 lettuce|10v1|DW064105 664 2489 365 81.2 globlastp LYD525_H49 beet|12v1|BI096237_P1 665 2490 365 81.1 globlastp LYD525_H29 phalaenopsis|11v1|SRR125771.1000581_P1 666 2491 365 81 globlastp LYD525_H30 trigonella|11v1|SRR066195X105848 667 2492 365 80.9 glotblastn LYD525_H50 oil_palm|11v1|EY403951_P1 668 2493 365 80.8 globlastp LYD525_H51 brachypodium|12v1|BRADI1G41990_P1 669 2494 365 80.7 globlastp LYD525_H31 brachypodium|09v1|DV479885 670 2494 365 80.7 globlastp LYD525_H32 flaveria|11v1|SRR149229.134858_P1 671 2495 365 80.7 globlastp LYD525_H33 flaveria|11v1|SRR149229.104091_P1 672 2496 365 80.6 globlastp LYD525_H34 monkeyflower|10v1|CV521415_T1 673 2497 365 80.5 glotblastn LYD525_H35 arnica|11v1|SRR099034X126312_T1 674 2498 365 80.39 glotblastn LYD525_H52 sorghum|12v1|SB01G001500_T1 675 2499 365 80.26 glotblastn LYD525_H36 sorghum|11v1|SB01G001500 676 2499 365 80.26 glotblastn LYD525_H37 rice|11v1|AA749912_P1 677 2500 365 80.1 globlastp LYD525_H37 rice|gb170|OS03G36780 678 2500 365 80.1 globlastp LYD526_H1 arabidopsis_lyrata|09v1|JGIAL015968_T1 679 2501 366 94.87 glotblastn LYD526_H2 thellungiella_halophilum|11v1|EHJGI11009328 680 2502 366 88.3 globlastp LYD526_H3 thellungiella_parvulum|11v1|BY818477 681 2503 366 87.7 globlastp LYD526_H4 canola|11v1|EE446150_T1 682 2504 366 85.27 glotblastn LYD526_H5 radish|gb164|EV543432 683 2505 366 84.73 glotblastn LYD526_H8 b_rapa|11v1|EE446150_P1 684 2506 366 84 globlastp LYD526_H9 b_juncea|12v1|E6ANDIZ02HAY46_P1 685 2507 366 82.7 globlastp LYD526_H6 canola|11v1|SRR019557.37442_T1 686 2508 366 82.55 glotblastn LYD526_H10 b_rapa|11v1|CN829199_P1 687 2509 366 82.4 globlastp LYD526_H7 canola|11v1|EV120639_P1 688 2510 366 81.8 globlastp LYD527_H1 arabidopsis_lyrata|09v1|JGIAL016215_P1 689 2511 367 86.3 globlastp LYD527_H2 arabidopsis_lyrata|09v1|CRPALE018554_P1 690 2512 367 85.9 globlastp LYD528_H1 arabidopsis_lyrata|09v1|JGIAL010051_P1 691 2513 368 98.4 globlastp LYD528_H2 thellungiella_parvulum|11v1|EPCRP009845 692 2514 368 94.9 globlastp LYD528_H17 b_rapa|11v1|DN964807_P1 693 2515 368 94.5 globlastp LYD528_H3 canola|11v1|SRR329661.233011_P1 694 2516 368 94.1 globlastp LYD528_H4 thellungiella_halophilum|11v1|EHJGI11003890 695 2517 368 93.3 globlastp LYD528_H5 canola|11v1|SRR341923.1074360_T1 696 2518 368 92.94 glotblastn LYD528_H6 canola|11v1|SRR329661.212936_T1 697 2519 368 92.55 glotblastn LYD528_H7 canola|11v1|SRR329661.203365_T1 698 2520 368 92.16 glotblastn LYD528_H18 b_rapa|11v1|EX109671_P1 699 2521 368 89.6 globlastp LYD528_H19 b_rapa|11v1|E6ANDIZ01EED7M_P1 700 2522 368 89.2 globlastp LYD528_H8 thellungiella_parvulum|11v1|EPCRP002185 701 2523 368 87.1 globlastp LYD528_H9 arabidopsis_lyrata|09v1|JGIAL004771_T1 702 2524 368 86.77 glotblastn LYD528_H10 arabidopsis|10v1|AT1G52700_P1 703 2525 368 86.3 globlastp LYD528_H11 thellungiella_halophilum|11v1|EHJGI11004658 704 2526 368 85.5 globlastp LYD528_H12 canola|11v1|SRR341920.125536_P1 705 2527 368 85.1 globlastp LYD528_H13 radish|gb164|EW717735 706 2528 368 85.1 globlastp LYD528_H20 b_rapa|11v1|BRA030973_P1 707 2529 368 84.7 globlastp LYD528_H14 b_rapa|gb162|DN964807 708 2530 368 83.9 globlastp LYD528_H21 b_rapa|11v1|E6ANDIZ01EBPM4_T1 709 2531 368 81.96 glotblastn LYD528_H15 castorbean|11v1|EG661187_P1 710 2532 368 81.8 globlastp LYD528_H16 poplar|10v1|BU891181_P1 711 2533 368 80.6 globlastp LYD529_H1 arabidopsis_lyrata|09v1|JGIAL023826_P1 712 2534 369 96.1 globlastp LYD529_H2 thellungiella_halophilum|11v1|EHJGI11017680 713 2535 369 90 globlastp LYD529_H3 thellungiella_parvulum|11v1|EPCRP024486 714 2536 369 89.3 globlastp LYD529_H4 canola|11v1|EV182687_T1 715 2537 369 87.04 glotblastn LYD529_H5 b_rapa|11v1|EV182687_P1 716 2538 369 86.8 globlastp LYD531_H1 arabidopsis_lyrata|09v1|JGIAL026618_P1 717 2539 371 90.2 globlastp LYD531_H2 canola|11v1|EE458414_P1 718 2540 371 83.3 globlastp LYD531_H3 b_oleracea|gb161|EH427989_P1 719 2541 371 80.4 globlastp LYD532_H1 arabidopsis_lyrata|09v1|CRPALE021692_P1 720 2542 372 93 globlastp LYD532_H2 thellungiella_halophilum|11v1|EHJGI11026551 721 2543 372 88.7 globlastp LYD532_H3 thellungiella_parvulum|11v1|EPCRP024311 722 2544 372 88.5 globlastp LYD532_H4 b_rapa|11v1|H07430_P1 723 2545 372 85.5 globlastp LYD533_H1 arabidopsis_lyrata109v1|JGIAL020349_P1 724 2546 373 95.3 globlastp LYD533_H2 thellungiella_halophilum|11v1|DN772696 725 2547 373 85 globlastp LYD533_H3 thellungiella_parvulum|11v1|DN772696 726 2548 373 85 globlastp LYD533_H4 b_rapa|11v1|DY006448_P1 727 2549 373 80.6 globlastp LYD534_H1 arabidopsis_lyrata|09v1|JGIAL028732_P1 728 2550 374 94.6 globlastp LYD534_H2 thellungiella_halophilum|11v1|EHJGI11028247 729 2551 374 83.5 globlastp LYD534_H3 b_juncea|10v2|E6ANDIZ01AURFX_P1 730 2552 374 83 globlastp LYD534_H3 b_juncea|10v2|E6ANDIZ01AURFX 731 — 374 83 globlastp LYD534_H4 b_oleracea|gb161|AM062082_T1 732 2553 374 82.61 glotblastn LYD534_H5 thellungiella_halophilum|11v1|EHPRD125218 733 2554 374 82.47 glotblastn LYD534_H6 b_rapa|gb162|CV546549 734 2555 374 81.91 glotblastn LYD534_H7 radish|gb164|EW725622 735 2556 374 81.91 glotblastn LYD534_H12 b_rapa|11v1|CV546549_P1 736 2557 374 81.9 globlastp LYD534_H8 b_juncea|10v2|E6ANDIZ01BUSA3 737 2558 374 81.9 globlastp LYD534_H9 canola|11v1|EV089507_P1 738 2557 374 81.9 globlastp LYD534_H10 canola|11v1|EE446184_P1 739 2559 374 81.5 globlastp LYD534_H13 b_juncea|12v1|E6ANDIZ01BUSA3_P1 740 2560 374 80.9 globlastp LYD534_H11 b_juncea|10v2|E6ANDIZ01A0W7T 741 2561 374 80.9 globlastp LYD534_H14 b_rapa|11v1|CD829151_P1 742 2562 374 80.2 globlastp LYD534_H15 b_rapa|11v1|EE505776_P1 743 2562 374 80.2 globlastp LYD535_H1 arabidopsis_lyrata|09v1|JGIAL028142_P1 744 2563 375 89.1 globlastp LYD536_H1 arabidopsis_lyrata|09v1|JGIAL031214_P1 745 2564 376 92.6 globlastp LYD536_H2 thellungiella_halophilum|11v1|EHJGI11019132 746 2565 376 88.8 globlastp LYD536_H3 thellungiella_parvulum|11v1|EPCRP006079 747 2566 376 87.56 glotblastn LYD536_H4 canola|11v1|DW999348_P1 748 2567 376 87.2 globlastp LYD536_H6 b_rapa|11v1|CD815782_P1 749 2568 376 87 globlastp LYD536_H7 b_juncea|12v1|E6ANDIZ01CHJGT_P1 750 2569 376 86.3 globlastp LYD536_H5 radish|gb164|EW715863 751 2570 376 86.3 globlastp LYD537_H10 b_rapa|11v1|EH416474_P1 752 2571 377 97.5 globlastp LYD537_H1 b_rapa|gb162|EX039662 753 2571 377 97.5 globlastp LYD537_H3 b_oleracea|gb161|AM387255_T1 754 2572 377 96.45 glotblastn LYD537_H4 canola|11v1|EV093336_T1 755 2573 377 95.43 glotblastn LYD537_H6 thellungiella_halophilum|11v1|DN774047 756 2574 377 89.4 globlastp LYD537_H7 thellungiella|gb167|DN774047 757 2574 377 89.4 globlastp LYD537_H9 arabidopsis_lyrata|09v1|JGIAL011355_P1 758 2575 377 86 globlastp LYD538_H22 b_rapa|11v1|D78493_P1 759 378 378 100 globlastp LYD538_H2 b_rapa|gb162|D78493 760 378 378 100 globlastp LYD538_H23 b_juncea|12v1|E6ANDIZ01A102H_P1 761 2576 378 98.3 globlastp LYD538_H3 b_oleracea|gb161|AM388274_P1 762 2577 378 98.3 globlastp LYD538_H4 canola|11v1|CN829815_P1 763 2578 378 97.9 globlastp LYD538_H24 b_juncea|12v1|E6ANDIZ01A6UK3_P1 764 2579 378 97.4 globlastp LYD538_H25 b_juncea|12v1|E6ANDIZ01D1DA8_P1 765 2580 378 97.4 globlastp LYD538_H5 b_juncea|10v2|E6ANDIZ01A102H 766 2581 378 97 globlastp LYD538_H6 b_juncea|10v2|E6ANDIZ01D1DA8 767 2582 378 97 globlastp LYD538_H1 canola|11v1|DY025281_P1 768 2583 378 96.2 globlastp LYD538_H8 b_rapa|gb162|CA992498 769 2584 378 94.9 globlastp LYD538_H9 canola|11v1|CN732901_P1 770 2585 378 94.9 globlastp LYD538_H26 b_juncea|12v1|E6ANDIZ01A8ZZF_P1 771 2586 378 94.4 globlastp LYD538_H27 wheat|12v3|ERR125558X206533D1_P1 772 2587 378 94.4 globlastp LYD538_H7 b_juncea|10v2|E6ANDIZ01AFTUB 773 2586 378 94.4 globlastp LYD538_H11 b_juncea|10v2|E6ANDIZ01A8ZZF 774 2588 378 94.4 globlastp LYD538_H28 b_rapa|11v1|CD830505_P1 775 2589 378 94 globlastp LYD538_H12 radish|gb164|EX762568 776 2590 378 94 globlastp LYD538_H15 radish|gb164|EY906991 777 2591 378 93.6 globlastp LYD538_H14 radish|gb164|EV543577 778 2592 378 93.2 globlastp LYD538_H16 thellungiella_halophilum|11v1|DN773489 779 2593 378 92.7 globlastp LYD538_H17 thellungiella_parvulum|11v1|DN773489 780 2594 378 92.7 globlastp LYD538_H18 thellungiella_parvulum|11v1|EPPRD115512 781 2594 378 92.7 globlastp LYD538_H19 thellungiella|gb167|DN773489 782 2593 378 92.7 globlastp LYD538_H20 radish|gb164|EV536694 783 2595 378 91.9 globlastp LYD538_H10 arabidopsis_lyrata|09v1|JGIAL022891_P1 784 2596 378 85.9 globlastp LYD538_H13 arabidopsis|10v1|AT4G09650_P1 785 2597 378 85.1 globlastp LYD538_H21 cleome_spinosa|10v1|SRR015531S0004048_P1 786 2598 378 80.1 globlastp LYD539_H14 b_rapa|11v1|ES922502_P1 787 2599 379 95.7 globlastp LYD539_H7 canola|11v1|EV186519_P1 788 2600 379 95.7 globlastp LYD539_H10 b_rapa|gb162|EX024134 789 2601 379 95.21 glotblastn LYD539_H8 canola|11v1|EV204662_P1 790 2602 379 93.4 globlastp LYD539_H15 b_juncea|12v1|E6ANDIZ01B2FLS_P1 791 2603 379 92.8 globlastp LYD539_H16 b_rapa|11v1|EH415044_P1 792 2604 379 92.8 globlastp LYD539_H1 canola|11v1|EE473969_P1 793 2605 379 92.3 globlastp LYD539_H2 canola|11v1|EE431340_P1 794 2606 379 92.3 globlastp LYD539_H4 thellungiella_parvulum|11v1|DN772747 795 2607 379 91.1 globlastp LYD539_H3 radish|gb164|EV546508 796 2608 379 90.2 globlastp LYD539_H6 arabidopsis_lyrata|09v1|JGIAL014664_P1 797 2609 379 90.2 globlastp LYD539_H9 thellungiella_halophilum|11v1|DN772747 798 2610 379 89.5 globlastp LYD540_H5 b_rapa|11v1|CN830957_P1 799 2611 380 89.5 globlastp LYD540_H1 canola|11v1|CN830957_P1 800 2612 380 88.7 globlastp LYD541_H1 canola|11v1|ES977027_T1 801 2613 381 99.23 glotblastn LYD541_H7 wheat|12v3|TA12V3PRD011584_T1 802 2614 381 92.81 glotblastn LYD541_H2 thellungiella_parvulum|11v1|EPCRP002741 803 2615 381 88.7 globlastp LYD541_H3 canola|11v1|ES976757_T1 804 2616 381 88.55 glotblastn LYD541_H8 b_rapa|11v1|AM395348_P1 805 2617 381 86.8 globlastp LYD541_H4 thellungiella_halophilum|11v1|EHJGI11022196 806 2618 381 86.42 glotblastn LYD541_H5 canola|11v1|EE503031XX1_P1 807 2619 381 84.1 globlastp LYD541_H6 arabidopsis_lyrata|09v1|JGIAL017560_P1 808 2620 381 80.9 globlastp LYD542_H1 barley|10v2|BF622260 809 2621 382 92.3 globlastp LYD542_H2 wheat|10v2|BE428760 810 2622 382 92.1 globlastp LYD542_H2 wheat|12v3|BQ579180_P1 811 2622 382 92.1 globlastp LYD542_H3 foxtail_millet|11v3|PHY7SI017408M_P1 812 2623 382 87.2 globlastp LYD542_H7 sorghum|12v1|SB04G028030_P1 813 2624 382 87 globlastp LYD542_H4 sorghum|11v1|SB04G028030 814 2624 382 87 globlastp LYD542_H5 maize|10v1|AI600679_P1 815 2625 382 85.6 globlastp LYD542_H6 rice|11v1|CA753844_P1 816 2626 382 84.4 globlastp LYD542_H6 rice|gb170|OS02G51100 817 2627 382 81.8 globlastp LYD542_H8 rye|12v1|DRR001012.114491_P1 818 2628 382 80.4 globlastp LYD544_H1 brachypodium|12v1|BRADI2G59740_T1 819 2629 384 86.63 glotblastn LYD545_H14 brachypodium|12v1|BRADI1G39260_P1 820 2630 385 95.6 globlastp LYD545_H1 rice|11v1|BI808593_P1 821 2631 385 89.3 globlastp LYD545_H1 rice|gb170|OS06G31100 822 2631 385 89.3 globlastp LYD545_H15 sorghum|12v1|SB10G020060_P1 823 2632 385 89.1 globlastp LYD545_H2 sorghum|11v1|SB10G020060 824 2632 385 89.1 globlastp LYD545_H3 foxtail_millet|11v3|PHY7SI006167M_P1 825 2633 385 88.6 globlastp LYD545_H16 rye|12v1|BE587152_P1 826 2634 385 88.4 globlastp LYD545_H17 rye|12v1|DRR001012.114248_P1 827 2635 385 88.4 globlastp LYD545_H18 rye|12v1|DRR001012.135473_P1 828 2636 385 88.3 globlastp LYD545_H4 sugarcane|10v1|CA093342 829 2637 385 88.3 globlastp LYD545_H5 wheat|12v3|BE404680_P1 830 2638 385 88.3 globlastp LYD545_H5 wheat|10v2|BE403258 831 2639 385 87.9 globlastp LYD545_H6 wheat|10v2|BG906212 832 2640 385 87.6 globlastp LYD545_H7 wheat|10v2|BE586039 833 2641 385 87.4 globlastp LYD545_H8 leymus|gb166|EG379479_P1 834 2642 385 87.3 globlastp LYD545_H9 maize|10v1|BG458966_P1 835 2643 385 87.2 globlastp LYD545_H19 wheat|12v3|BE586039_P1 836 2644 385 84.7 globlastp LYD545_H10 switchgrass|gb167|FE609538 837 2645 385 80.64 glotblastn LYD545_H11 maize|10v1|BG517650_T1 838 2646 385 80.28 glotblastn LYD545_H20 sorghum|12v1|SB04G009720_T1 839 2647 385 80.11 glotblastn LYD545_H12 sorghum|11v1|SB04G009720 840 2647 385 80.11 glotblastn LYD545_H13 foxtail_millet|11v3|EC613481_P1 841 2648 385 80 globlastp LYD547_H11 b_rapa|11v1|CD822163_P1 842 387 387 100 globlastp LYD547_H1 b_rapa|gb162|CV545936 843 387 387 100 globlastp LYD547_H12 b_juncea|12v1|E6ANDIZ01BB4X5_P1 844 2649 387 96.7 globlastp LYD547_H2 b_oleracea|gb161|EE535189_P1 845 2650 387 95 globlastp LYD547_H3 radish|gb164|EX749320 846 2651 387 89 globlastp LYD547_H4 radish|gb164|EX772827 847 2652 387 88.4 glotblastn LYD547_H5 radish|gb164|EV524435 848 2653 387 87.8 globlastp LYD547_H6 b_juncea|10v2|E6ANDIZ01BB4X5 849 2654 387 86.74 glotblastn LYD547_H7, arabidopsis|10v1|AT1G10522_P1 850 2655 387 83.5 globlastp LYD547_H8 LYD547_H7, arabidopsis|10v1|AT1G10522 851 — 387 83.5 globlastp LYD547_H8 LYD547_H9 thellungiella_halophilum|11v1|BY811044 852 2656 387 82.6 globlastp LYD547_H10 thellungiella|gb167|BY811044 853 2656 387 82.6 globlastp LYD548_H15 b_rapa|11v1|CV433382_P1 854 2657 388 99.4 globlastp LYD548_H1 canola|11v1|EV096783_P1 855 2658 388 99.1 globlastp LYD548_H2 b_rapa|gb162|CV433382 856 2659 388 99.1 globlastp LYD548_H16 b_juncea|12v1|E6ANDIZ01BQSST_P1 857 2660 388 97.8 globlastp LYD548_H4 radish|gb164|EV524991 858 2661 388 97.5 globlastp LYD548_H5 thellungiella_parvulum|11v1|BI698654 859 2662 388 96 globlastp LYD548_H7 thellungiella_halophilum|11v1|DN772727 860 2663 388 93.8 globlastp LYD548_H8 thellungiella|gb167|BI698654 861 2663 388 93.8 globlastp LYD548_H6 arabidopsis|10v1|AT4G09750_P1 862 2664 388 92.9 globlastp LYD548_H9 arabidopsis_lyrata|09v1|JGIAL022899_P1 863 2665 388 92.9 globlastp LYD548_H10 cleome_spinosa|10v1|SRR015531S0001848_P1 864 2666 388 85.1 globlastp LYD548_H17 nasturtium|11v1|SRR032558.125769_P1 865 2667 388 82 globlastp LYD548_H18 heritiera|10v1|SRR005794S0003093_P1 866 2668 388 80 globlastp LYD549_H2 thellungiella_parvulum|11v1|BY806948 867 2669 389 85 globlastp LYD549_H3 thellungiella_halophilum|11v1|BY806948 868 2670 389 80.7 globlastp LYD549_H4 arabidopsis_lyrata|09v1|JGIAL014484_P1 869 2671 389 80.7 globlastp LYD549_H5 arabidopsis|10v1|AT2G33580_P1 870 2672 389 80.7 globlastp LYD550_H46 b_rapa|11v1|CX270458_P1 871 2673 390 95.7 globlastp LYD550_H2 thellungiella_halophilum|11v1|DN774121 872 2674 390 89.2 globlastp LYD550_H3 thellungiella_parvulum|11v1|DN774121 873 2675 390 87.8 globlastp LYD550_H5 arabidopsis_lyrata|09v1|JGIAL010121_P1 874 2676 390 87.6 globlastp LYD551_H9 b_rapa|11v1|BQ791522_P1 875 391 391 100 globlastp LYD551_H1 b_rapa|gb162|BQ791522 876 391 391 100 globlastp LYD551_H2 canola|11v1|DY024382_P1 877 2677 391 98.4 globlastp LYD551_H3 radish|gb164|EV524465 878 2678 391 94 globlastp LYD551_H4 thellungiella_parvulum|11v1|EPCRP002902 879 2679 391 92.8 globlastp LYD551_H5 thellungiella_halophilum|11v1|EHJGI11006208 880 2680 391 88.8 globlastp LYD551_H6 arabidopsis_lyrata|09v1|JGIAL000319_P1 881 2681 391 86.4 globlastp LYD551_H7 arabidopsis|10v1|AT1G03870_P1 882 2682 391 84.4 globlastp LYD551_H8 thellungiella_parvulum|11v1|EPCRP008913 883 2683 391 80.08 glotblastn LYD552_H4 b_rapa|11v1|EE440823_P1 884 2684 392 94.9 globlastp LYD552_H1 radish|gb164|EV537053 885 2685 392 88.5 globlastp LYD552_H5 b_rapa|11v1|CD839492_T1 886 2686 392 86.64 glotblastn LYD552_H2 b_rapa|gb162|EX018471 887 2687 392 86.4 globlastp LYD552_H3 thellungiella_parvulum|11v1|BY800613 888 2688 392 81.35 glotblastn LYD553_H5 thellungiella_halophilum|11v1|EHJGI11004320 889 2689 393 94.2 globlastp LYD554_H3 cotton|11v1|AI728201_P1 890 2690 394 99.2 globlastp LYD555_H1 cotton|10v2|ES850546 891 2691 395 96.68 glotblastn LYD555_H2 gossypium_raimondii|12v1|DT457613_P1 892 2692 395 92.8 globlastp LYD556_H2 pigeonpea|11v1|SRR054580X111609_T1 893 2693 396 80.73 glotblastn LYD556_H1 pigeonpea|10v1|SRR054580S0002555 894 2693 396 80.73 glotblastn LYD558_H1 trigonella|11v1|SRR066194X122160 895 2694 397 91.08 glotblastn LYD558_H2 chickpea|11v1|SRR133517.102289_P1 896 2695 397 85.1 globlastp LYD559_H22 chickpea|11v1|DY475242_P1 897 2696 398 85.8 globlastp LYD559_H2 chickpea|09v2|DY475242 898 2696 398 85.8 globlastp LYD559_H23 pigeonpea|11v1|SRR054580X120956_P1 899 2697 398 84.1 globlastp LYD559_H4 soybean|11v1|GLYMA12G16380 900 2698 398 83.7 globlastp LYD559_H5 spurge|gb161|DV117048 901 2699 398 83 globlastp LYD559_H6 lotus|09v1|AI967656_P1 902 2700 398 82.7 globlastp LYD559_H24 cotton|11v1|AW186999_P1 903 2701 398 82 globlastp LYD559_H25 gossypium_raimondii|12v1|AW186999_P1 904 2701 398 82 globlastp LYD559_H8 cotton|10v2|CO071682 905 2701 398 82 globlastp LYD559_H9 eucalyptus|11v2|CD668373_P1 906 2702 398 81.7 globlastp LYD559_H26 cotton|11v1|CO069437_P1 907 2703 398 81.4 globlastp LYD559_H27 cotton|11v1|DT543683_P1 908 2704 398 81.4 globlastp LYD559_H10 euphorbia|11v1|DV117048_P1 909 2705 398 81.2 globlastp LYD559_H11 peanut|10v1|CD038760_P1 910 2706 398 81.2 globlastp LYD559_H12 valeriana|11v1|SRR099039X101600 911 2707 398 81.1 globlastp LYD559_H13 pigeonpea|10v1|SRR054580S0006801 912 2708 398 80.9 globlastp LYD559_H14 poplar|10v1|AI166111_P1 913 2709 398 80.8 globlastp LYD559_H15 kiwi|gb166|FG427674_P1 914 2710 398 80.6 globlastp LYD559_H16 chestnut|gb170|SRR006295S0023483_P1 915 2711 398 80.4 globlastp LYD559_H17 primula|11v1|SRR098679X101226XX1_T1 916 2712 398 80.33 glotblastn LYD559_H18 platanus|11v1|AM260510_P1 917 2713 398 80.2 globlastp LYD559_H28 b_juncea|12v1|E6ANDIZ01A1HSY_T1 918 2714 398 80.11 glotblastn LYD559_H20 fraxinus|11v1|SRR058827.103366_P1 919 2715 398 80.1 globlastp LYD559_H21 scabiosa|11v1|SRR063723X100713 920 2716 398 80.1 globlastp LYD560_H1 trigonella|11v1|SRR066194X100341 921 2717 399 97.6 globlastp LYD560_H3 pea|11v1|Y17796_P1 922 2718 399 92.6 globlastp LYD560_H158 pigeonpea|11v1|SRR054580X104938_P1 923 2719 399 86.7 globlastp LYD560_H15 strawberry|11v1|CO378466 924 2720 399 85.4 globlastp LYD560_H29 phyla|11v2|SRR099035X102776_P1 925 2721 399 84.1 globlastp LYD560_H34 euonymus|11v1|SRR070038X101097_T1 926 2722 399 83.87 glotblastn LYD560_H38 euonymus|11v1|SRR070038X127843_P1 927 2723 399 83.7 globlastp LYD560_H43 tripterygium|11v1|SRR098677X102820 928 2724 399 83.6 globlastp LYD560_H48 orobanche|10v1|SRR023189S0012604_P1 929 2725 399 83.4 globlastp LYD560_H58 clementine|11v1|BQ623022_P1 930 2726 399 83.2 globlastp LYD560_H71 citrus|gb166|BQ623022 931 2727 399 83 globlastp LYD560_H94 rice|11v1|AA750598_P1 932 2728 399 82.5 globlastp LYD560_H94 rice|gb170|OS05G49800 933 2728 399 82.5 globlastp LYD560_H99 clementine|11v1|CB293579_P1 934 2729 399 82.4 globlastp LYD560_H100 orange|11v1|BQ623022_P1 935 2729 399 82.4 globlastp LYD560_H159 blueberry|12v1|SRR353282X18635D1_T1 936 2730 399 82.31 glotblastn LYD560_H106 antirrhinum|gb166|AJ558721_T1 937 2731 399 82.03 glotblastn LYD560_H107 cassava|09v1|CK646362_P1 938 2732 399 82 globlastp LYD560_H123 tripterygium|11v1|SRR098677X101139 939 2733 399 81.5 globlastp LYD560_H131 cotton|10v2|BE053665 940 2734 399 80.8 globlastp LYD560_H160 poppy|11v1|SRR030259.11437_T1 941 2735 399 80.72 glotblastn LYD560_H161 gossypium_raimondii|12v1|BE053665_P1 942 2736 399 80.6 globlastp LYD560_H162 cotton|11v1|BE053665_P1 943 2737 399 80.3 globlastp LYD560_H149 tobacco|gb162|DW004467 944 2738 399 80.23 glotblastn LYD560_H163 blueberry|12v1|SRR353282X40527D1_P1 945 2739 399 80 globlastp LYD561_H1 trigonella|11v1|SRR066194X416969 946 2740 400 91.6 globlastp LYD561_H2 clover|gb162|BB903437_P1 947 2741 400 83.6 globlastp LYD562_H1 soybean|11v1|GLYMA16G01070 948 2742 401 83.4 globlastp LYD562_H2 soybean|11v1|GLYMA07G04480 949 2743 401 83.1 globlastp LYD562_H4 bean|12v1|FG228272_P1 950 2744 401 83 globlastp LYD562_H5 pigeonpea|11v1|GR464005_P1 951 2745 401 83 globlastp LYD562_H3 pigeonpea|10v1|GR464005 952 2746 401 82.5 globlastp LYD563_H1 trigonella|11v1|SRR066194X190527 953 2747 402 92.3 globlastp LYD563_H4 chickpea|11v1|GR392227_P1 954 2748 402 87 globlastp LYD563_H2 pea|11v1|FG534485_P1 955 2749 402 86.7 globlastp LYD563_H3 lotus|09v1|AV413185_P1 956 2750 402 80 globlastp LYD564_H1 trigonella|11v1|SRR066194X144531 957 2751 403 99.5 globlastp LYD564_H130 chickpea|11v1|GR396842_P1 958 2752 403 95.2 globlastp LYD564_H2 pea|11v1|FG530295XX1_P1 959 2753 403 94.1 globlastp LYD564_H3 chickpea|09v2|GR396842 960 2754 403 93.4 globlastp LYD564_H4 cowpea|12v1|FF538026_P1 961 2755 403 92.5 globlastp LYD564_H5 soybean|11v1|GLYMA04G25800 962 2756 403 92.5 globlastp LYD564_H6 soybean|11v1|GLYMA11G16210 963 2757 403 90.5 globlastp LYD564_H131 bean|12v1|CA896686_P1 964 2758 403 89.5 globlastp LYD564_H7 bean|gb167|BQ481858 965 2759 403 89.5 globlastp LYD564_H8 cowpea|12v1|FF556286_P1 966 2760 403 89.5 globlastp LYD564_H8 cowpea|gb166|FF556286 967 2760 403 89.5 globlastp LYD564_H9 cirsium|11v1|SRR346952.16734_T1 968 2761 403 89.07 glotblastn LYD564_H132 sunflower|12v1|DY907147_P1 969 2762 403 88.6 globlastp LYD564_H10 fagopyrum|11v1|SRR063703X104472_T1 970 2763 403 88.52 glotblastn LYD564_H11 orobanche|10v1|SRR023189S0000792_T1 971 2764 403 88.52 glotblastn LYD564_H12 ambrosia|11v1|SRR346935.602112_P1 972 2765 403 88.5 globlastp LYD564_H13 dandelion|10v1|DY824048_P1 973 2766 403 88.5 globlastp LYD564_H14 senecio|gb170|DY663921 974 2767 403 88.5 globlastp LYD564_H15 tragopogon|10v1|SRR020205S0016332 975 2768 403 88.5 globlastp LYD564_H133 pigeonpea|11v1|GW352750_P1 976 2769 403 88.1 globlastp LYD564_H16 fagopyrum|11v1|SRR063689X100418_T1 977 2770 403 88.04 glotblastn LYD564_H17 flaveria|11v1|SRR149229.110435_P1 978 2771 403 88 globlastp LYD564_H18 safflower|gb162|EL407197 979 2772 403 88 globlastp LYD564_H19 phyla|11v2|SRR099036X248170_T1 980 2773 403 87.98 glotblastn LYD564_H20 centaurea|gb166|EH717776_P1 981 2774 403 87.6 globlastp LYD564_H21 sunflower|10v1|DY907147 982 2775 403 87.6 globlastp LYD564_H134 bean|12v1|CA900936_P1 983 2776 403 87.4 globlastp LYD564_H22 bean|gb167|CA900936 984 2776 403 87.4 globlastp LYD564_H135 sunflower|12v1|DY923354_P1 985 2777 403 87.2 globlastp LYD564_H136 sunflower|12v1|DY944220_P1 986 2777 403 87.2 globlastp LYD564_H23 cynara|gb167|GE588051_P1 987 2778 403 87.2 globlastp LYD564_H24 flaveria|11v1|SRR149229.111588_P1 988 2779 403 87.2 globlastp LYD564_H25 grape|11v1|GSVIVT01032214001_P1 989 2780 403 87.2 globlastp LYD564_H26 lotus|09v1|LLBG662335_P1 990 2781 403 87.2 globlastp LYD564_H27 sunflower|10v1|DY923354 991 2777 403 87.2 globlastp LYD564_H28 cleome_gynandra|10v1|SRR015532S0011580_P1 992 2782 403 87.1 globlastp LYD564_H29 ambrosia|11v1|SRR346943.287416_T1 993 2783 403 87.03 glotblastn LYD564_H137 sesame|12v1|JK047154_P1 994 2784 403 86.9 globlastp LYD564_H30 artemisia|10v1|EY062833_P1 995 2785 403 86.9 globlastp LYD564_H31 petunia|gb171|FN000395_P1 996 2786 403 86.9 globlastp LYD564_H32 flaveria|11v1|SRR149232.13647_P1 997 2787 403 86.7 globlastp LYD564_H33 triphysaria|10v1|EY002738 998 2788 403 86.2 globlastp LYD564_H34 sarracenia|11v1|SRR192669.103612 999 2789 403 86.1 glotblastn LYD564_H35 pepper|12v1|CA520536_P1 1000 2790 403 85.9 globlastp LYD564_H35 pepper|gb171|CA520536 1001 2790 403 85.9 globlastp LYD564_H36 salvia|10v1|CV170107 1002 2791 403 85.9 globlastp LYD564_H37 tobacco|gb162|DV157807 1003 2792 403 85.9 globlastp LYD564_H38 coffea|10v1|DV664647_P1 1004 2793 403 85.6 globlastp LYD564_H39 catharanthus|11v1|FD660937_P1 1005 2794 403 85.4 globlastp LYD564_H40 citrus|gb166|BQ623391 1006 2795 403 85.35 glotblastn LYD564_H41 clementine|11v1|BQ623391_T1 1007 2796 403 85.35 glotblastn LYD564_H42 orange|11v1|BQ623391_T1 1008 2795 403 85.35 glotblastn LYD564_H43 tomato|11v1|BG643022 1009 2797 403 85.3 globlastp LYD564_H44 ipomoea_nil|10v1|BJ561525_P1 1010 2798 403 85.2 globlastp LYD564_H45 oak|10v1|DB997519_P1 1011 2799 403 85.1 globlastp LYD564_H46 oak|10v1|SRR039735S0009498_P1 1012 2799 403 85.1 globlastp LYD564_H47 tabernaemontana|11v1|SRR098689X106773 1013 2800 403 85.1 globlastp LYD564_H48 lettuce|10v1|DW075465 1014 2801 403 84.9 globlastp LYD564_H138 nasturtium|11v1|SRR032558.116424_T1 1015 2802 403 84.82 glotblastn LYD564_H49 artemisia|10v1|SRR019254S0026008_P1 1016 2803 403 84.8 globlastp LYD564_H50 cichorium|gb171|EH703642_P1 1017 2804 403 84.8 globlastp LYD564_H51 eggplant|10v1|FS001669_P1 1018 2805 403 84.8 globlastp LYD564_H52 utricularia|11v1|SRR094438.107075 1019 2806 403 84.8 globlastp LYD564_H139 blueberry|12v1|SRR353282X27016D1_P1 1020 2807 403 84.7 globlastp LYD564_H53 dandelion|10v1|DY802954_P1 1021 2808 403 84.7 globlastp LYD564_H54 lettuce|10v1|DW076259 1022 2809 403 84.7 globlastp LYD564_H55 castorbean|11v1|XM_002517708_T1 1023 2810 403 84.62 glotblastn LYD564_H140 plantago|11v2|SRR066373X110282_P1 1024 2811 403 84.6 globlastp LYD564_H56 canola|11v1|EE511611_P1 1025 2812 403 84.6 globlastp LYD564_H57 plantago|11v1|SRR066373X110282 1026 2811 403 84.6 globlastp LYD564_H141 gossypium_raimondii|12v1|AI727289_T1 1027 2813 403 84.54 glotblastn LYD564_H58 cotton|10v2|BQ412972 1028 2813 403 84.54 glotblastn LYD564_H59 thellungiella_halophilum|11v1|EHJGI11025782 1029 2814 403 84.46 glotblastn LYD564_H60 potato|10v1|BG592695_P1 1030 2815 403 84.3 globlastp LYD564_H61 solanum_phureja|09v1|SPHBG643022 1031 2815 403 84.3 globlastp LYD564_H62 chestnut|gb170|SRR006295S0014027_P1 1032 2816 403 84.2 globlastp LYD564_H63 oak|10v1|FN723381_P1 1033 2816 403 84.2 globlastp LYD564_H64 vinca|11v1|SRR098690X111539 1034 2817 403 84.2 globlastp LYD564_H65 valeriana|11v1|SRR099039X212264 1035 2818 403 84.15 glotblastn LYD564_H142 cotton|11v1|AI727289_T1 1036 2819 403 84.02 glotblastn LYD564_H66 lettuce|10v1|DW123070 1037 2820 403 84 globlastp LYD564_H67 strawberry|11v1|EX659306 1038 2821 403 84 globlastp LYD564_H48, lettuce|12v1|DW075465_P1 1039 2820 403 84 globlastp LYD564_H66 LYD564_H68 eucalyptus|11v2|CU394869_T1 1040 2822 403 83.92 glotblastn LYD564_H143 lettuce|12v1|DW076259_P1 1041 2823 403 83.6 globlastp LYD564_H69 bruguiera|gb166|BP939279_P1 1042 2824 403 83.6 globlastp LYD564_H70 peanut|10v1|EE124748_P1 1043 2825 403 83.6 globlastp LYD564_H71 platanus|11v1|SRR096786X116310_P1 1044 2826 403 83.6 globlastp LYD564_H72 radish|gb164|EW715474 1045 2827 403 83.6 globlastp LYD564_H73 tripterygium|11v1|SRR098677X11813 1046 2828 403 83.6 globlastp LYD564_H74 thellungiella_parvulum|11v1|EPCRP023807 1047 2829 403 83.5 globlastp LYD564_H75 humulus|11v1|SRR098683X103967XX1_T1 1048 2830 403 83.42 glotblastn LYD564_H76 b_oleracea|gb161|ES943633_P1 1049 2831 403 83.4 globlastp LYD564_H77 thellungiella_halophilum|11v1|EHJGI11024070 1050 2832 403 83.4 globlastp LYD564_H78 kiwi|gb166|FG439670_P1 1051 2833 403 83.2 globlastp LYD564_H79 olea|11v1|SRR014463.26573_P1 1052 2834 403 83.2 globlastp LYD564_H80 arabidopsis|10v1|AT5G13780_P1 1053 2835 403 83 globlastp LYD564_H81 papaya|gb165|EX281447_P1 1054 2836 403 83 globlastp LYD564_H82 arabidopsis_lyrata|09v1|JGIAL021061_P1 1055 2837 403 82.9 globlastp LYD564_H144 banana|12v1|FL657740_T1 1056 2838 403 82.89 glotblastn LYD564_H83 antirrhinum|gb166|AJ791317_P1 1057 2839 403 82.8 globlastp LYD564_H145 oil_palm|11v1|EY408003_T1 1058 2840 403 82.7 glotblastn LYD564_H84 ginger|gb164|DY360679_T1 1059 2841 403 82.7 glotblastn LYD564_H85 cassava|09v1|DR083932_P1 1060 2842 403 82.6 globlastp LYD564_H146 spruce|11v1|ES254811_T1 1061 2843 403 82.51 glotblastn LYD564_H147 b_rapa|11v1|CD823802_P1 1062 2844 403 82.5 globlastp LYD564_H86 b_rapa|gb162|CV546927 1063 2844 403 82.5 globlastp LYD564_H87 tea|10v1|GE650599 1064 2845 403 82.4 globlastp LYD564_H88 canola|11v1|DY024886_P1 1065 2846 403 82.3 globlastp LYD564_H89 ipomoea_batatas|10v1|BU690124_P1 1066 2847 403 82.3 globlastp LYD564_H90 monkeyflower|10v1|GO989362_P1 1067 2848 403 82.3 globlastp LYD564_H91 aristolochia|10v1|FD763380_P1 1068 2849 403 82.2 globlastp LYD564_H92 euphorbia|11v1|SRR098678X101714_P1 1069 2850 403 82.1 globlastp LYD564_H148 spruce|11v1|ES251408_T1 1070 2851 403 81.97 glotblastn LYD564_H149 spruce|11v1|EX364957_T1 1071 2851 403 81.97 glotblastn LYD564_H93 spruce|gb162|CO483132 1072 2851 403 81.97 glotblastn LYD564_H94 amorphophallus|11v2|SRR089351X207625_T1 1073 2852 403 81.91 glotblastn LYD564_H95 b_juncea|10v2|E6ANDIZ01A14OT 1074 2853 403 81.9 globlastp LYD564_H96 canola|11v1|DY024420_P1 1075 2854 403 81.9 globlastp LYD564_H97 curcuma|10v1|DY391831_T1 1076 2855 403 81.82 glotblastn LYD564_H98 poplar|10v1|AI162059_P1 1077 2856 403 81.7 globlastp LYD564_H99 cassava|09v1|DV445645_P1 1078 2857 403 81.6 globlastp LYD564_H150 banana|12v1|FL662727_T1 1079 2858 403 81.54 glotblastn LYD564_H151 oil_palm|11v1|ES370541_T1 1080 2859 403 81.52 glotblastn LYD564_H100 euphorbia|11v1|AW821927_P1 1081 2860 403 81.5 globlastp LYD564_H101 abies|11v2|SRR098676X107677_T1 1082 2861 403 81.42 glotblastn LYD564_H102 distylium|11v1|SRR065077X14314_T1 1083 2862 403 81.42 glotblastn LYD564_H103 podocarpus|10v1|SRR065014S0008986_T1 1084 2863 403 81.42 glotblastn LYD564_H104 pseudotsuga|11v1|SRR065119S0002063 1085 2864 403 81.42 glotblastn LYD564_H105 sciadopitys|10v1|SRR065035S0030946 1086 2865 403 81.42 glotblastn LYD564_H106 euonymus|11v1|SRR070038X112482_P1 1087 2866 403 81.3 globlastp LYD564_H107 poplar|10v1|BU833771_P1 1088 2867 403 81.3 globlastp LYD564_H108 tripterygium|11v1|SRR098677X133407 1089 2868 403 81.25 glotblastn LYD564_H109 cannabis|12v1|EW701715_P1 1090 2869 403 81.2 globlastp LYD564_H110 phalaenopsis|11v1|CB032868_T1 1091 2870 403 81.18 glotblastn LYD564_H111 cleome_spinosa|10v1|GR931668_P1 1092 2871 403 81 globlastp LYD564_H112 chelidonium|11v1|SRR084752X104265_T1 1093 2872 403 80.83 glotblastn LYD564_H113 canola|11v1|EE480839_P1 1094 2873 403 80.8 globlastp LYD564_H114 prunus|10v1|CN489292 1095 2874 403 80.77 glotblastn LYD564_H115 spurge|gb161|AW821927 1096 2875 403 80.7 globlastp LYD564_H152 b_rapa|11v1|CD823960_P1 1097 2876 403 80.6 globlastp LYD564_H116 b_rapa|gb162|CV546937 1098 2876 403 80.6 globlastp LYD564_H117 cacao|10v1|CA798010_P1 1099 2877 403 80.6 globlastp LYD564_H118 flax|11v1|JG027336_P1 1100 2878 403 80.6 globlastp LYD564_H119 flax|11v1|JG032028_P1 1101 2879 403 80.6 globlastp LYD564_H153 poppy|11v1|SRR030259.103044_P1 1102 2880 403 80.5 globlastp LYD564_H154 poppy|11v1|SRR030259.106398XX1_P1 1103 2880 403 80.5 globlastp LYD564_H120 euonymus|11v1|SRR070038X116092_P1 1104 2881 403 80.5 globlastp LYD564_H121 silene|11v1|GH292679 1105 2882 403 80.5 globlastp LYD564_H122 silene|11v1|SRR096785X122338 1106 2882 403 80.5 globlastp LYD564_H123 aquilegia|10v2|JGIAC016088_T1 1107 2883 403 80.41 glotblastn LYD564_H155 spruce|11v1|SRR065814X412166_T1 1108 2884 403 80.33 glotblastn LYD564_H124 cephalotaxus|11v1|SRR064395X117984_T1 1109 2885 403 80.33 glotblastn LYD564_H125 distylium|11v1|SRR065077X112028_T1 1110 2886 403 80.33 glotblastn LYD564_H126 maritime_pine|10v1|BX254986_T1 1111 2887 403 80.33 glotblastn LYD564_H156 rose|12v1|SRR397984.111801_P1 1112 2888 403 80.3 globlastp LYD564_H127 canola|11v1|SRR019556.1870_P1 1113 2889 403 80.2 globlastp LYD564_H157 poppy|11v1|SRR096789.168678_P1 1114 2890 403 80.1 globlastp LYD564_H128 beet|gb162|BI543861 1115 2891 403 80 globlastp LYD564_H129 cynodon|10v1|ES293564_T1 1116 2892 403 80 glotblastn LYD565_H5 chickpea|11v1|SRR133517.116272_T1 1117 2893 404 86.65 glotblastn LYD565_H6 pigeonpea|11v1|SRR054580X109139_P1 1118 2894 404 85.1 globlastp LYD565_H1 pigeonpea|10v1|SRR054580S0046177 1119 2894 404 85.1 globlastp LYD565_H7 bean|12v1|CA913713_P1 1120 2895 404 83.5 globlastp LYD565_H2 soybean|11v1|GLYMA04G01720 1121 2896 404 82.41 glotblastn LYD565_H3 soybean|11v1|GLYMA06G01810 1122 2897 404 80.58 glotblastn LYD565_H4 peanut|10v1|EG030338_P1 1123 2898 404 80.2 globlastp LYD566_H2 medicago|12v1|AW127599_P1 1124 2899 405 97.5 globlastp LYD566_H1 medicago|09v1|AW127599 1125 2899 405 97.5 globlastp LYD567_H1 medicago|09v1|LLCO511773 1126 2900 406 93.3 globlastp LYD567_H2 pea|11v1|AJ308129_P1 1127 2901 406 92 globlastp LYD567_H3 pea|11v1|CD860470_P1 1128 2902 406 92 globlastp LYD567_H10 chickpea|11v1|FE669744_P1 1129 2903 406 90.8 globlastp LYD567_H4 chickpea|09v2|FE669744 1130 2903 406 90.8 globlastp LYD567_H5 pea|11v1|AJ308126_P1 1131 2904 406 89.3 globlastp LYD567_H6 clover|gb162|BB915852_P1 1132 2905 406 88 globlastp LYD567_H7 trigonella|11v1|SRR066194X123223 1133 2906 406 86.7 globlastp LYD567_H11 chickpea|11v1|X95708_T1 1134 2907 406 85.53 glotblastn LYD567_H12 chickpea|11v1|SRR133522.101553_P1 1135 2908 406 85.5 globlastp LYD567_H8 chickpea|09v2|CD051353 1136 2908 406 85.5 globlastp LYD567_H9 trigonella|11v1|SRR066194X28674 1137 2909 406 85.3 globlastp LYD568_H16 chickpea|11v1|AJ630657_P1 1138 2910 407 91.6 globlastp LYD568_H1 chickpea|09v2|AJ630657 1139 2910 407 91.6 globlastp LYD568_H17 pigeonpea|11v1|SRR054580X103634_P1 1140 2911 407 90.4 globlastp LYD568_H2 pigeonpea|10v1|SRR054580S0000977 1141 2911 407 90.4 globlastp LYD568_H3 liquorice|gb171|FS248176_P1 1142 2912 407 89.9 globlastp LYD568_H4 lotus|09v1|AW163923_P1 1143 2913 407 89.9 globlastp LYD568_H18 peanut|10v1|GO266966_T1 1144 2914 407 86.52 glotblastn LYD568_H5 soybean|11v1|GLYMA04G01390 1145 2915 407 86.5 globlastp LYD568_H6 cowpea|12v1|FF389144_P1 1146 2916 407 82 globlastp LYD568_H6 cowpea|gb166|FF389144 1147 2916 407 82 globlastp LYD568_H7 flax|11v1|GW866793_P1 1148 2917 407 81.8 globlastp LYD568_H8 cacao|10v1|CU490694_P1 1149 2918 407 81.5 globlastp LYD568_H9 flax|11v1|EU830291_T1 1150 2919 407 81.46 glotblastn LYD568_H19 cotton|11v1|AI055160_P1 1151 2920 407 80.9 globlastp LYD568_H20 cotton|11v1|DT461579_P1 1152 2921 407 80.9 globlastp LYD568_H21 gossypium_raimondii|12v1|AI055160_P1 1153 2921 407 80.9 globlastp LYD568_H22 nasturtium|11v1|SRR032558.13527_P1 1154 2922 407 80.9 globlastp LYD568_H10 bean|gb167|CV538261 1155 2923 407 80.9 glotblastn LYD568_H11 castorbean|11v1|EE259809_T1 1156 2924 407 80.9 glotblastn LYD568_H12 cotton|10v2|AI055160 1157 2921 407 80.9 globlastp LYD568_H13 cassava|09v1|CK645402_P1 1158 2925 407 80.7 globlastp LYD568_H23 bean|12v1|SRR001334.136593_T1 1159 2926 407 80.34 glotblastn LYD568_H14 poplar|10v1|BU813245_P1 1160 2927 407 80.3 globlastp LYD568_H15 tomato|11v1|BG129131 1161 2928 407 80.3 globlastp LYD570_H1 trigonella|11v1|SRR066194X239168 1162 2929 408 92.9 globlastp LYD570_H2 chickpea|09v2|EH058717 1163 2930 408 83 globlastp LYD572_H1 medicago|12v1|EV255012_P1 1164 2931 410 98.2 globlastp LYD573_H1 trigonella|11v1|SRR066194X104366 1165 2932 411 94 globlastp LYD573_H2 chickpea|11v1|SRR133517.141259_T1 1166 2933 411 88.61 glotblastn LYD574_H20 chickpea|11v1|SRR133517.128864_P1 1167 2934 412 94.9 globlastp LYD574_H21 pigeonpea|11v1|SRR054580X111703_P1 1168 2935 412 91.5 globlastp LYD574_H1 soybean|11v1|GLYMA02G02340 1169 2936 412 90.8 globlastp LYD574_H2 lotus|09v1|LLBG662424_P1 1170 2937 412 90 globlastp LYD574_H22 bean|12v1|CA908921_P1 1171 2938 412 89.5 globlastp LYD574_H3 peanut|10v1|EG029423_P1 1172 2939 412 87.6 globlastp LYD574_H4 poplar|10v1|BU869776_P1 1173 2940 412 82.3 globlastp LYD574_H5 peanut|10v1|EC366411_P1 1174 2941 412 82.2 globlastp LYD574_H6 soybean|11v1|GLYMA01G05160 1175 2942 412 82.02 glotblastn LYD574_H7 chestnut|gb170|SRR006295S0025482_P1 1176 2943 412 81.9 globlastp LYD574_H23 bean|12v1|SRR001334.279981_T1 1177 2944 412 81.88 glotblastn LYD574_H8 bean|gb167|CV542123 1178 2944 412 81.88 glotblastn LYD574_H9 soybean|11v1|GLYMA08G40920 1179 2945 412 81.6 globlastp LYD574_H24 beech|11v1|SRR006293.10412_P1 1180 2946 412 81.5 globlastp LYD574_H10 prunus|10v1|BU039536 1181 2947 412 81.2 globlastp LYD574_H11 poplar|10v1|BU820298_P1 1182 2948 412 81.1 globlastp LYD574_H25 pigeonpea|11v1|SRR054580X100050_T1 1183 2949 412 80.96 glotblastn LYD574_H12 pigeonpea|10v1|SRR054580S0004056 1184 2949 412 80.96 glotblastn LYD574_H13 soybean|11v1|GLYMA18G16060 1185 2950 412 80.9 globlastp LYD574_H14 oak|10v1|FP041194_T1 1186 2951 412 80.52 glotblastn LYD574_H15 apple|11v1|CN864765_P1 1187 2952 412 80.5 globlastp LYD574_H16 cacao|10v1|CA794423_P1 1188 2953 412 80.5 globlastp LYD574_H17 castorbean|11v1|GE632527_P1 1189 2954 412 80.5 globlastp LYD574_H26 gossypium_raimondii|12v1|AI728125_T1 1190 2955 412 80.34 glotblastn LYD574_H27 cotton|11v1|AI728125_P1 1191 2956 412 80.3 globlastp LYD574_H18 grape|11v1|GSVIVT01020041001_P1 1192 2957 412 80.3 globlastp LYD574_H19 strawberry|11v1|CO817255 1193 2958 412 80.1 globlastp LYD578_H146 chickpea|11v1|FL512454_P1 1194 2959 416 95.4 globlastp LYD578_H2 soybean|11v1|GLYMA16G34500 1195 2960 416 92 globlastp LYD578_H147 pigeonpea|11v1|SRR054580X10565_P1 1196 2961 416 91.9 globlastp LYD578_H3 prunus|10v1|BU047195 1197 2962 416 91.2 globlastp LYD578_H148 bean|12v1|CA910341_P1 1198 2963 416 90.4 globlastp LYD578_H4 flax|11v1|CA482751_P1 1199 2964 416 90.2 globlastp LYD578_H5 eucalyptus|11v2|CT982512_P1 1200 2965 416 90 globlastp LYD578_H6 apple|11v1|CN489546_P1 1201 2966 416 89.8 globlastp LYD578_H7 melon|10v1|AM726472_P1 1202 2967 416 89.8 globlastp LYD578_H8 watermelon|11v1|AM726472 1203 2968 416 89.7 globlastp LYD578_H9 cucumber|09v1|DN910557_P1 1204 2969 416 89.5 globlastp LYD578_H10 apple|11v1|CN996236_P1 1205 2970 416 89.4 globlastp LYD578_H11 strawberry|11v1|CO380109 1206 2971 416 88.5 globlastp LYD578_H12 cacao|10v1|CF974101_P1 1207 2972 416 88.4 globlastp LYD578_H13 euonymus|11v1|SRR070038X118639_P1 1208 2973 416 88.3 globlastp LYD578_H15 euonymus|11v1|SRR070038X138821_P1 1209 2974 416 88.2 globlastp LYD578_H16 chestnut|gb170|SRR006295S0032584_P1 1210 2975 416 88 globlastp LYD578_H17 silene|11v1|SRR096785X101977 1211 2976 416 88 globlastp LYD578_H18 tripterygium|11v1|SRR098677X118762 1212 2977 416 88 globlastp LYD578_H19 oak|10v1|FP033276_P1 1213 2978 416 87.8 globlastp LYD578_H21 peanut|10v1|ES712396_T1 1214 2979 416 87.59 glotblastn LYD578_H23 grape|11v1|GSVIVT01011574001_P1 1215 2980 416 87.3 globlastp LYD578_H26 euphorbia|11v1|DV112988_P1 1216 2981 416 87.1 globlastp LYD578_H149 poppy|11v1|SRR030259.373171_P1 1217 2982 416 86.8 globlastp LYD578_H29 tomato|11v1|BG131155 1218 2983 416 86.8 globlastp LYD578_H150 poppy|11v1|SRR030259.105041_P1 1219 2984 416 86.7 globlastp LYD578_H30 canola|11v1|EE564982_T1 1220 2985 416 86.61 glotblastn LYD578_H151 oil_palm|11v1|EL687687_P1 1221 2986 416 86.5 globlastp LYD578_H31 arabidopsis_lyrata|09v1|JGIAL016352_P1 1222 2987 416 86.5 globlastp LYD578_H32 cassava|09v1|DV443394_P1 1223 2988 416 86.5 globlastp LYD578_H152 medicago|12v1|AW684124_P1 1224 2989 416 86.3 globlastp LYD578_H36 arabidopsis|10v1|AT2G01970_P1 1225 2990 416 86.3 globlastp LYD578_H37 medicago|09v1|LLAW684124 1226 2989 416 86.3 globlastp LYD578_H39 thellungiella_parvulum|11v1|DN778102 1227 2991 416 86.3 globlastp LYD578_H40 canola|11v1|EE549996_P1 1228 2992 416 86.2 globlastp LYD578_H42 canola|11v1|EE454097_T1 1229 2993 416 86.13 glotblastn LYD578_H43 canola|11v1|DY006061_P1 1230 2994 416 86.1 globlastp LYD578_H44 canola|11v1|DY020128_P1 1231 2995 416 86.1 globlastp LYD578_H45 humulus|11v1|EX520208_P1 1232 2996 416 86.1 globlastp LYD578_H46 thellungiella_halophilum|11v1|DN778102 1233 2997 416 86.1 globlastp LYD578_H153 b_rapa|11v1|CD825207_P1 1234 2998 416 86 globlastp LYD578_H154 oil_palm|11v1|EL691164_P1 1235 2999 416 85.8 globlastp LYD578_H47 lotus|09v1|AI967723_P1 1236 3000 416 85.8 globlastp LYD578_H48 watermelon|11v1|AM739846 1237 3001 416 85.8 globlastp LYD578_H155 eschscholzia|11v1|CD477858_P1 1238 3002 416 85.7 globlastp LYD578_H156 b_rapa|11v1|H74789_P1 1239 3003 416 85.6 globlastp LYD578_H49 phyla|11v2|SRR099035X100102_P1 1240 3004 416 85.6 globlastp LYD578_H50 thellungiella_parvulum|11v1|BY807072 1241 3005 416 85.6 globlastp LYD578_H51 apple|11v1|CX024719_P1 1242 3006 416 85.5 globlastp LYD578_H52 arabidopsis|10v1|AT1G14670_P1 1243 3007 416 85.5 globlastp LYD578_H54 prunus|10v1|CN492032 1244 3008 416 85.4 globlastp LYD578_H55 tabernaemontana|11v1|SRR098689X101380 1245 3009 416 85.4 globlastp LYD578_H56 thellungiella_halophilum|11v1|BY809962 1246 3010 416 85.4 globlastp LYD578_H58 solanum_phureja|09v1|SPHBG131155 1247 3011 416 85.3 globlastp LYD578_H59 triphysaria|10v1|DR175111 1248 3012 416 85.3 globlastp LYD578_H60 artemisia|10v1|EY072332_P1 1249 3013 416 85.2 globlastp LYD578_H157 sunflower|12v1|DY905094_P1 1250 3014 416 85.1 globlastp LYD578_H158 oil_palm|11v1|SRR190698.107991_T1 1251 3015 416 85.06 glotblastn LYD578_H63 apple|11v1|CN492032_P1 1252 3016 416 85 globlastp LYD578_H65 solanum_phureja|09v1|SPHDB721762 1253 3017 416 85 globlastp LYD578_H66 strawberry|11v1|DY674763 1254 3018 416 85 globlastp LYD578_H68 solanum_phureja|09v1|SPHBG134887 1255 3019 416 84.9 globlastp LYD578_H69 tomato|11v1|BG134887 1256 3020 416 84.9 globlastp LYD578_H159 banana|12v1|FF557959_P1 1257 3021 416 84.7 globlastp LYD578_H160 banana|12v1|FL660505_P1 1258 3022 416 84.7 globlastp LYD578_H74 artemisia|10v1|EY043221_P1 1259 3023 416 84.6 globlastp LYD578_H75 vinca|11v1|SRR098690X121789 1260 3024 416 84.6 globlastp LYD578_H76 cacao|10v1|CU588720_T1 1261 3025 416 84.55 glotblastn LYD578_H77 catharanthus|11v1|EG557449_T1 1262 3026 416 84.55 glotblastn LYD578_H78 amsonia|11v1|SRR098688X111096_P1 1263 3027 416 84.5 globlastp LYD578_H80 flaveria|11v1|SRR149229.114845_P1 1264 3028 416 84.5 globlastp LYD578_H82 sunflower|10v1|DY903830 1265 3029 416 84.5 globlastp LYD578_H161 banana|12v1|MAGEN2012035391_P1 1266 3030 416 84.4 globlastp LYD578_H162 sunflower|12v1|DY903830_P1 1267 3031 416 84.4 globlastp LYD578_H163 sunflower|12v1|DY913973_P1 1268 3032 416 84.4 globlastp LYD578_H84 sunflower|10v1|DY907361 1269 3032 416 84.4 globlastp LYD578_H85 tobacco|gb162|DW003003 1270 3033 416 84.4 globlastp LYD578_H86 vinca|11v1|SRR098690X103710 1271 3034 416 84.4 globlastp LYD578_H87 tripterygium|11v1|SRR098677X117684 1272 3035 416 84.38 glotblastn LYD578_H88 cucumber|09v1|AM739846_P1 1273 3036 416 84.3 globlastp LYD578_H90 ambrosia|11v1|SRR346935.3835_T1 1274 3037 416 84.21 glotblastn LYD578_H164 banana|12v1|BBS1314T3_P1 1275 3038 416 84.1 globlastp LYD578_H91 chestnut|gb170|SRR006295S0045171_P1 1276 3039 416 84.1 globlastp LYD578_H92 euonymus|11v1|SRR070038X113826_P1 1277 3040 416 84.1 globlastp LYD578_H93 catharanthus|11v1|SRR098691X104034_T1 1278 3041 416 84.03 glotblastn LYD578_H165 sunflower|12v1|DY907361_P1 1279 3042 416 84 globlastp LYD578_H94 arnica|11v1|SRR099034X111318_P1 1280 3043 416 84 globlastp LYD578_H95 lettuce|10v1|DW111094 1281 3044 416 84 globlastp LYD578_H96 poplar|10v1|AI166075_P1 1282 3045 416 84 globlastp LYD578_H97 poplar|10v1|BI128092_P1 1283 3046 416 84 globlastp LYD578_H166 plantago|11v2|SRR066373X102361_P1 1284 3047 416 83.9 globlastp LYD578_H98 plantago|11v1|SRR066373X102361 1285 3047 416 83.9 globlastp LYD578_H99 tabernaemontana|11v1|SRR098689X100108 1286 3048 416 83.9 globlastp LYD578_H101 vinca|11v1|SRR098690X110217 1287 3049 416 83.9 glotblastn LYD578_H103 canola|11v1|EE485698_T1 1288 3050 416 83.87 glotblastn LYD578_H167 nasturtium|11v1|SRR032558.117106_P1 1289 3051 416 83.8 globlastp LYD578_H104 cassava|09v1|JGICASSAVA18083VALIDM1_P1 1290 3052 416 83.8 globlastp LYD578_H105 tomato|11v1|DB721762 1291 3053 416 83.8 globlastp LYD578_H168 banana|12v1|ES436693_P1 1292 3054 416 83.6 globlastp LYD578_H110 ambrosia|11v1|SRR346935.101384_P1 1293 3055 416 83.4 globlastp LYD578_H111 oak|10v1|FN730940_P1 1294 3056 416 83.4 globlastp LYD578_H112 ambrosia|11v1|SRR346935.101406_T1 1295 3057 416 83.33 glotblastn LYD578_H169 b_juncea|12v1|E6ANDIZ01AHJJJ_T1 1296 3058 416 83.31 glotblastn LYD578_H113 centaurea|gb166|EH717543_P1 1297 3059 416 83.3 globlastp LYD578_H114 arnica|11v1|SRR099034X103662_T1 1298 3060 416 83.28 glotblastn LYD578_H115 rice|11v1|AA751885_P1 1299 3061 416 83.2 globlastp LYD578_H115 rice|gb170|OS03G13380 1300 3061 416 83.2 globlastp LYD578_H170 brachypodium|12v1|BRADI1G68750_P1 1301 3062 416 82.9 globlastp LYD578_H116 phalaenopsis|11v1|SRR125771.1004728_P1 1302 3063 416 82.9 globlastp LYD578_H117 silene|11v1|SRR096785X115898 1303 3064 416 82.9 globlastp LYD578_H171 sunflower|12v1|DY903937_P1 1304 3065 416 82.7 globlastp LYD578_H118 sunflower|10v1|DY903937 1305 3066 416 82.7 globlastp LYD578_H119 oat|11v1|AA231831_P1 1306 3067 416 82.5 globlastp LYD578_H121 poplar|10v1|AI164784_P1 1307 3068 416 82.4 globlastp LYD578_H124 flaveria|11v1|SRR149229.25937_P1 1308 3069 416 82.1 globlastp LYD578_H126 arabidopsis_lyrata|09v1|JGIAL027304_P1 1309 3070 416 82 globlastp LYD578_H127 ambrosia|11v1|SRR346935.566463_P1 1310 3071 416 81.8 globlastp LYD578_H128 arnica|11v1|SRR099034X115318_P1 1311 3072 416 81.8 globlastp LYD578_H130, arabidopsis|10v1|AT5G37310_P1 1312 3073 416 81.6 globlastp LGP44 LYD578_H172 oil_palm|11v1|EL692338_P1 1313 3074 416 81.5 globlastp LYD578_H132 phalaenopsis|11v1|SRR125771.1010602_P1 1314 3075 416 81.5 globlastp LYD578_H133 flaveria|11v1|SRR149229.122528_T1 1315 3076 416 81.46 glotblastn LYD578_H135 canola|11v1|EE543932_P1 1316 3077 416 81.2 globlastp LYD578_H137 flaveria|11v1|SRR149229.125055_T1 1317 3078 416 80.95 glotblastn LYD578_H173 b_rapa|11v1|CD825294_P1 1318 3079 416 80.9 globlastp LYD578_H138 cannabis|12v1|SOLX00055372_P1 1319 3080 416 80.6 globlastp LYD578_H174 eschscholzia|11v1|CD480510XX1_P1 1320 3081 416 80.5 globlastp LYD578_H139 maritime_pine|10v1|AL750688_P1 1321 3082 416 80.5 globlastp LYD578_H140 amorphophallus|11v2|SRR089351X125537_P1 1322 3083 416 80.4 globlastp LYD578_H142 vinca|11v1|SRR098690X112534 1323 3084 416 80.3 globlastp LYD578_H143 abies|11v2|SRR098676X100567_P1 1324 3085 416 80.1 globlastp LYD578_H144 sequoia|10v1|SRR065044S0014146 1325 3086 416 80.1 globlastp LYD578_H145 brachypodium|09v1|DV486133 1326 3087 416 80.07 glotblastn LYD579_H7 chickpea|11v1|FE670056_P1 1327 3088 417 87.7 globlastp LYD579_H8 pigeonpea|11v1|SRR054580X447982_P1 1328 3089 417 84.3 globlastp LYD579_H1 lotus|09v1|AV410218_P1 1329 3090 417 84 globlastp LYD579_H2 cowpea|12v1|FC461356_P1 1330 3091 417 83.6 globlastp LYD579_H2 cowpea|gb166|FC461356 1331 3091 417 83.6 globlastp LYD579_H9 bean|12v1|SRR001336.56224_P1 1332 3092 417 83 globlastp LYD579_H3 bean|gb167|CV530490 1333 3092 417 83 globlastp LYD579_H4 soybean|11v1|GLYMA05G38570 1334 3093 417 82.7 globlastp LYD579_H5 soybean|11v1|GLYMA08G01060 1335 3094 417 82.5 globlastp LYD579_H6 peanut|10v1|CD037684_P1 1336 3095 417 80.7 globlastp LYD580_H3 medicago|12v1|XM_003597757_P1 1337 3096 418 95 globlastp LYD580_H4 chickpea|11v1|GR911819_P1 1338 3097 418 86.7 globlastp LYD585_H1 medicago|09v1|LLBE942833 1339 3098 422 98.2 globlastp LYD585_H2 trigonella|11v1|SRR066194X116540 1340 3099 422 90 globlastp LYD585_H3 chickpea|11v1|SRR133517.103317_P1 1341 3100 422 80.3 globlastp LYD586_H2 chickpea|11v1|SRR133518.12586_P1 1342 3101 423 81.5 globlastp LYD586_H1 lotus|09v1|AW719808_P1 1343 3102 423 80.6 globlastp LYD588_H1 medicago|09v1|CRPMT003032 1344 3103 425 87.08 glotblastn LYD588_H3 medicago|12v1|XM_003615634_P1 1345 3104 425 80.6 globlastp LYD590_H1 chickpea|11v1|SRR133517.134494_T1 1346 3105 427 88.06 glotblastn LYD591_H1 chickpea|11v1|SRR133517.166672_P1 1347 3106 428 83.9 globlastp LYD592_H2 soybean|11v1|GLYMA19G37270_P1 1348 3107 429 81.6 globlastp LYD592_H3 soybean|11v1|GLYMA03G34580_P1 1349 3108 429 80.6 globlastp LYD594_H1 medicago|09v1|LLBF633538 1350 3109 431 97 globlastp LYD598_H1 wheat|10v2|BE400730XX2 1351 3110 435 85.4 globlastp LYD598_H1 wheat|12v3|BT009540_P1 1352 3110 435 85.4 globlastp LYD598_H6 rye|12v1|DRR001012.100407_P1 1353 3111 435 85.1 globlastp LYD598_H7 sorghum|12v1|SB01G042010_P1 1354 3112 435 84.9 globlastp LYD598_H2 sorghum|11v1|SB01G042010 1355 3112 435 84.9 globlastp LYD598_H3 maize|10v1|AI586617_T1 1356 3113 435 81.84 glotblastn LYD598_H4 foxtail_millet|11v31PHY7SI035780M_P1 1357 3114 435 81.4 globlastp LYD598_H5 switchgrass|gb167|FL903075 1358 3115 435 80.7 globlastp LYD601 rice|11v1|BI306238_P1 1359 3116 438 98.9 globlastp LYD601 rice|11v1|CK007248_P1 1360 3116 438 98.9 globlastp LYD601_H1 wheat|10v2|BE400601 1361 3117 438 83.1 globlastp LYD601_H8 sorghum|12v1|SB10G002190_P1 1362 3118 438 82.5 globlastp LYD601_H2 sorghum|11v1|SB10G002190 1363 3118 438 82.5 globlastp LYD601_H1 wheat|12v3|CD931110_P1 1364 3119 438 82.2 globlastp LYD601_H3 foxtail_millet|11v3|PHY7SI006804M_P1 1365 3120 438 81.1 globlastp LYD601_H4 switchgrass|gb167|FL690669 1366 3121 438 81.1 globlastp LYD601_H5 sugarcane|10v1|CA084453 1367 3122 438 80.8 globlastp LYD601_H9 brachypodium|12v1|BRADI1G50140_T1 1368 3123 438 80.29 glotblastn LYD601_H6 barley|10v2|AW982216 1369 3124 438 80.29 glotblastn LYD601_H7 brachypodium|09v1|SRR031798S0051694 1370 3123 438 80.29 glotblastn LYD603_H1 wheat|10v2|BG906907 1371 3125 440 80.05 glotblastn LYD603_H1 wheat|12v3|BE591745_T1 1372 3125 440 80.05 glotblastn LYD604_H1 maize|10v1|BM896111_P1 1373 3126 441 90.4 globlastp LYD604_H2 sugarcane|10v1|BQ533093 1374 3127 441 90.34 glotblastn LYD604_H3 foxtail_millet|11v3|PHY7SI014187M_P1 1375 3128 441 84.9 globlastp LYD604_H4 switchgrass|gb167|FL751571 1376 3129 441 82.61 glotblastn LYD604_H5 foxtail_millet|11v3|PHY7SI014332M_P1 1377 3130 441 82.2 globlastp LYD605_H1 maize|10v1|AI395969_P1 1378 3131 442 90.2 globlastp LYD605_H3 foxtail_millet|11v3|PHY7SI032402M_P1 1379 3132 442 85.4 globlastp LYD606_H1 maize|10v1|CD998192_P1 1380 3133 443 88.9 globlastp LYD606_H2 foxtail_millet|11v3|PHY7SI003355M_P1 1381 3134 443 85.9 globlastp LYD606_H3 switchgrass|gb167|FE620000 1382 3135 443 82 globlastp LYD607_H1 sugarcane|10v1|CA090822 1383 3136 444 98.3 globlastp LYD607_H2 maize|10v1|AI461578_P1 1384 3137 444 97 globlastp LYD607_H3 foxtail_millet|11v3|EC613899_P1 1385 3138 444 88.4 globlastp LYD607_H4 millet|10v1|EVO454PM019085_P1 1386 3139 444 87.9 globlastp LYD607_H5 switchgrass|gb167|FL736062 1387 3140 444 87.9 globlastp LYD607_H6 rice|11v1|CA756435_P1 1388 3141 444 84.5 globlastp LYD607_H6 rice|gb170|OS01G59500 1389 3141 444 84.5 globlastp LYD607_H10 brachypodium|12v1|BRADI2G52910_P1 1390 3142 444 81.9 globlastp LYD607_H7 brachypodium|09v1|DV477071 1391 3142 444 81.9 globlastp LYD607_H8 cynodon|10v1|ES293393_T1 1392 3143 444 81.9 glotblastn LYD607_H9 oat|11v1|CN815678_P1 1393 3144 444 81 globlastp LYD608_H1 foxtail_millet|11v3|PHY7SI009630M_P1 1394 3145 445 91.6 globlastp LYD608_H2 maize|10v1|BM498393_P1 1395 3146 445 91.3 globlastp LYD608_H3 rice|11v1|CB629440_P1 1396 3147 445 82.1 globlastp LYD608_H3 rice|gb170|OS09G32840 1397 3147 445 82.1 globlastp LYD608_H4 millet|10v1|EVO454PM008964_P1 1398 3148 445 80.7 globlastp LYD609_H1 maize|10v1|AW091479_P1 1399 3149 446 90.8 globlastp LYD609_H2 foxtail_millet|11v3|PHY7SI021503M_P1 1400 3150 446 87.8 globlastp LYD609_H3 maize|10v1|AW066176_P1 1401 3151 446 84.3 globlastp LYD610_H1 maize|10v1|AW313273_P1 1402 3152 447 93.4 globlastp LYD610_H2 maize|10v1|CD941624_P1 1403 3153 447 93.2 globlastp LYD610_H3 foxtail_millet|11v3|PHY7SI034180M_P1 1404 3154 447 91.2 globlastp LYD610_H4 millet|10v1|EVO454PM000391_T1 1405 3155 447 89.61 glotblastn LYD610_H8 rice|11v1|OSCRP015914_P1 1406 3156 447 84.8 globlastp LYD610_H5 rice|11v1|CA767059_P1 1407 3157 447 84.8 globlastp LYD610_H5 rice|gb170|OS01G56330 1408 3157 447 84.8 globlastp LYD610_H9 brachypodium|12v1|BRADI1G63320_P1 1409 3158 447 83.8 globlastp LYD610_H6 brachypodium|09v1|GT772226 1410 3158 447 83.8 globlastp LYD610_H10 rye|12v1|DRR001012.101001_P1 1411 3159 447 82.8 globlastp LYD610_H11 rye|12v1|DRR001012.103223_P1 1412 3160 447 82.6 globlastp LYD610_H12 rice|11v1|OSCRP079749_P1 1413 3161 447 81.3 globlastp LYD610_H7 rice|11v1|C22581_P1 1414 3161 447 81.3 globlastp LYD610_H7 rice|gb170|OS03G21540 1415 3161 447 81.3 globlastp LYD610_H13 wheat|12v3|BE637867_P1 1416 3162 447 80.4 globlastp LYD610_H14 wheat|12v3|BI751671_T1 1417 3163 447 80.36 glotblastn LYD611_H1 soybean|11v1|GLYMA09G33700 1418 3164 448 92.8 globlastp LYD611_H2 cowpea|12v1|FG852821_P1 1419 3165 448 87.8 globlastp LYD611_H2 cowpea|gb166|FG852821 1420 3165 448 87.8 globlastp LYD611_H3 bean|12v1|SRR001335.371744_P1 1421 3166 448 87.3 globlastp LYD611_H4 pigeonpea|11v1|CCIIPG11007623_P1 1422 3167 448 86.5 globlastp LYD612_H1 soybean|11v1|GLYMA10G02210 1423 3168 449 91.9 globlastp LYD612_H6 pigeonpea|11v1|GR466527_P1 1424 3169 449 90.8 globlastp LYD612_H2 pigeonpea|10v1|GW351945 1425 3169 449 90.8 globlastp LYD612_H7 bean|12v1|CA910393_P1 1426 3170 449 84 globlastp LYD612_H3 cowpea|12v1|FF384755_P1 1427 3171 449 82.8 globlastp LYD612_H3 cowpea|gb166|VIRARG2 1428 3171 449 82.8 globlastp LYD612_H4 bean|gb167|CA910393 1429 3172 449 82 globlastp LYD612_H5 bean|gb167|CB540659 1430 3173 449 82 glotblastn LYD613_H1 pigeonpea|11v1|SRR054580X110249_P1 1431 3174 450 82.9 globlastp LYD613_H2 bean|12v1|SRR090491.1230988_P1 1432 3175 450 80.2 globlastp LYD614_H1 soybean|11v1|GLYMA14G06640 1433 3176 451 86 globlastp LYD615_H1 soybean|11v1|GLYMA19G30660 1434 3177 452 94.4 globlastp LYD615_H4 bean|12v1|CB543286_P1 1435 3178 452 88.9 globlastp LYD615_H5 pigeonpea|11v1|SRR054580X163954_P1 1436 3179 452 88.5 globlastp LYD615_H2 lotus|09v1|BP070765_P1 1437 3180 452 81.5 globlastp LYD615_H6 medicago|12v1|AW684979_P1 1438 3181 452 81.4 globlastp LYD615_H3 medicago|09v1|AW684979 1439 3181 452 81.4 globlastp LYD616_H4 bean|12v1|SRR001334.260126_T1 1440 3182 453 88.4 glotblastn LYD616_H5 pigeonpea|11v1|SRR054580X112099_T1 1441 3183 453 87.88 glotblastn LYD616_H6 chickpea|11v1|FE671275_T1 1442 3184 453 84.37 glotblastn LYD616_H1 lotus|09v1|CRPLJ028046_T1 1443 3185 453 82.69 glotblastn LYD616_H7 medicago|12v1|BG450022_P1 1444 3186 453 82.5 globlastp LYD616_H2 medicago|09v1|BG450022 1445 3186 453 82.5 globlastp LYD616_H3 soybean|11v1|GLYMA19G39560 1446 3187 453 80.8 globlastp LYD617_H1 cyamopsis|10v1|EG979147_P1 1447 3188 454 93.3 globlastp LYD617_H2 liquorice|gb171|FS251251_P1 1448 3189 454 93.3 globlastp LYD617_H3 cowpea|12v1|FF382757_P1 1449 3190 454 91.3 globlastp LYD617_H19 chickpea|11v1|SRR133517.118502_P1 1450 3191 454 91 globlastp LYD617_H3 cowpea|gb166|FF382757 1451 3192 454 90.2 globlastp LYD617_H20 pigeonpea|11v1|GR470046_P1 1452 3193 454 88.8 globlastp LYD617_H4 pigeonpea|10v1|GR470046 1453 3193 454 88.8 globlastp LYD617_H21 medicago|12v1|AW329294_P1 1454 3194 454 87.6 globlastp LYD617_H5 medicago|09v1|AW329294 1455 3194 454 87.6 globlastp LYD617_H22 medicago|12v1|BF632685_P1 1456 3195 454 85.4 globlastp LYD617_H6 trigonella|11v1|SRR066194X345953 1457 3196 454 85.4 globlastp LYD617_H23 medicago|12v1|AL381382_P1 1458 3197 454 84.3 globlastp LYD617_H7 lotus|09v1|AW428820_P1 1459 3198 454 84.3 globlastp LYD617_H8 medicago|09v1|AL381382 1460 3197 454 84.3 globlastp LYD617_H24 chickpea|11v1|GR394427_P1 1461 3199 454 83.1 globlastp LYD617_H9 soybean|11v1|GLYMA10G02430 1462 3200 454 83.1 globlastp LYD617_H25 bean|12v1|CA898865_P1 1463 3201 454 82 globlastp LYD617_H26 pigeonpea|11v1|SRR054580X13373_P1 1464 3202 454 82 globlastp LYD617_H10 bean|gb167|CA898865 1465 3201 454 82 globlastp LYD617_H11 clover|gb162|BB921888_P1 1466 3203 454 82 globlastp LYD617_H12 pigeonpea|10v1|SRR054580S0013374 1467 3202 454 82 globlastp LYD617_H13 soybean|11v1|GLYMA02G17370 1468 3204 454 82 globlastp LYD617_H14 cassava|09v1|DV442613_P1 1469 3205 454 80.9 globlastp LYD617_H15 cowpea|12v1|FF385220_P1 1470 3206 454 80.9 globlastp LYD617_H16 cucurbita|11v1|SRR091276X10451_T1 1471 3207 454 80.9 glotblastn LYD617_H17 oak|10v1|FP034480_P1 1472 3208 454 80.9 globlastp LYD617_H18 trigonella|11v1|SRR066194X186437 1473 3209 454 80.9 globlastp LYD620_H1 soybean|11v1|GLYMA17G08660 1474 3210 457 92.9 globlastp LYD620_H2 bean|12v1|CA902170_P1 1475 3211 457 84.2 globlastp LYD620_H3 pigeonpea|11v1|SRR054580X100276_P1 1476 3212 457 82.4 globlastp LYD621_H1 soybean|11v1|GLYMA08G05040 1477 3213 458 96 globlastp LYD621_H5 bean|12v1|CB542975_P1 1478 3214 458 92.1 globlastp LYD621_H6 pigeonpea|11v1|SRR054580X105242_P1 1479 3215 458 91.4 globlastp LYD621_H2 pigeonpea|10v1|SRR054580S0018657 1480 3216 458 91.35 glotblastn LYD621_H3 lotus|09v1|GO024264_P1 1481 3217 458 86 globlastp LYD621_H7 chickpea|11v1|SRR133517.133212_T1 1482 3218 458 85.77 glotblastn LYD621_H8 medicago|12v1|AI974296_P1 1483 3219 458 84.3 globlastp LYD621_H4 medicago|09v1|AI974296 1484 3219 458 84.3 globlastp LYD622_H1 soybean|11v1|GLYMA04G03680 1485 3220 459 97.8 globlastp LYD622_H12 pigeonpea|11v1|SRR054580X103966_P1 1486 3221 459 91.4 globlastp LYD622_H2 cowpea|12v1|FF543494_P1 1487 3222 459 90 globlastp LYD622_H2 cowpea|gb166|FF543494 1488 3222 459 90 globlastp LYD622_H3 pigeonpea|10v1|SRR054580S0037538 1489 3223 459 87.5 globlastp LYD622_H13 bean|12v1|FE899993_P1 1490 3224 459 87.1 globlastp LYD622_H4 lotus|09v1|CB828440_P1 1491 3225 459 84 globlastp LYD622_H14 chickpea|11v1|GR396021_P1 1492 3226 459 83.5 globlastp LYD622_H5 peanut|10v1|GO338761_P1 1493 3227 459 82.4 globlastp LYD622_H6 liquorice|gb171|FS241834_P1 1494 3228 459 81.9 globlastp LYD622_H7 cassava|09v1|DV454935_P1 1495 3229 459 81.4 globlastp LYD622_H8 clover|gb162|BB911490_P1 1496 3230 459 81.4 globlastp LYD622_H9 bean|gb167|FE899993 1497 3231 459 81.03 glotblastn LYD622_H10 medicago|09v1|LLBF646969 1498 3232 459 80.8 globlastp LYD622_H15 medicago|12v1|BF646969_T1 1499 3233 459 80.34 glotblastn LYD622_H11 trigonella|11v1|SRR066194X120913 1500 3234 459 80.3 globlastp LYD623_H1 soybean|11v1|GLYMA04G05890 1501 3235 460 85 globlastp LYD624_H3 bean|12v1|GFXX53603X1_P1 1502 3236 461 83.6 globlastp LYD624_H1 bean|gb167|GFXX53603X1 1503 3236 461 83.6 globlastp LYD624_H2 soybean|11v1|GLYMA13G02510 1504 3237 461 80.4 globlastp LYD625_H1 pigeonpea|11v1|SRR054580X387827_P1 1505 3238 462 84.8 globlastp LYD625_H2 bean|12v1|FE703801_P1 1506 3239 462 81.5 globlastp LYD626_H5 pigeonpea|11v1|SRR054580X120385_P1 1507 3240 463 90 globlastp LYD626_H1 pigeonpea|10v1|SRR054580S0079586 1508 3240 463 90 globlastp LYD626_H2 cowpea|12v1|FF384015_P1 1509 3241 463 84 globlastp LYD626_H2 cowpea|gb166|FF384015 1510 3241 463 84 globlastp LYD626_H6 bean|12v1|FE683652_P1 1511 3242 463 82.7 globlastp LYD626_H3 bean|gb167|CV530073 1512 3242 463 82.7 globlastp LYD626_H7 medicago|12v1|AW776098_P1 1513 3243 463 80.8 globlastp LYD626_H4 medicago|09v1|AW776098 1514 3243 463 80.8 globlastp LYD627_H1 soybean|11v1|GLYMA18G19050 1515 3244 464 94.46 glotblastn LYD627_H8 pigeonpea|11v1|SRR054580X103254_T1 1516 3245 464 88.69 glotblastn LYD627_H9 bean|12v1|CK901542_T1 1517 3246 464 88.53 glotblastn LYD627_H2 bean|gb167|CK901542 1518 3246 464 88.53 glotblastn LYD627_H3 pigeonpea|10v1|SRR054580S0002136 1519 3247 464 87.69 glotblastn LYD627_H4 cowpea|12v1|FC461147_T1 1520 3248 464 86.65 glotblastn LYD627_H4 cowpea|gb166|FC461147 1521 3248 464 86.65 glotblastn LYD627_H5 lotus|09v1|AV775154_T1 1522 3249 464 85.93 glotblastn LYD627_H10 chickpea|11v1|SRR133517.106923_T1 1523 3250 464 84.54 glotblastn LYD627_H6 peanut|10v1|GO263794_T1 1524 3251 464 83.29 glotblastn LYD627_H7 clover|gb162|BB914886_T1 1525 3252 464 81.86 glotblastn LYD628_H2 pigeonpea|11v1|CCIIPG11026354_T1 1526 3253 465 88.95 glotblastn LYD628_H1 soybean|11v1|GLYMA16G32600 1527 3254 465 88 globlastp LYD628_H3 bean|12v1|CV534892_P1 1528 3255 465 86.6 globlastp LYD629_H1 soybean|11v1|GLYMA07G12030 1529 3256 466 96.8 globlastp LYD629_H12 pigeonpea|11v1|SRR054580X119400_P1 1530 3257 466 90.5 globlastp LYD629_H2 pigeonpea|10v1|SRR054580S0000470 1531 3257 466 90.5 globlastp LYD629_H3 cowpea|12v1|EG594224_P1 1532 3258 466 89.3 globlastp LYD629_H3 cowpea|gb166|EG594224 1533 3258 466 89.3 globlastp LYD629_H4 bean|gb167|CV543026 1534 3259 466 88.4 globlastp LYD629_H13 bean|12v1|SRR001334.139650_P1 1535 3260 466 88.1 globlastp LYD629_H14 chickpea|11v1|GR393168_P1 1536 3261 466 86.4 globlastp LYD629_H5 lotus|09v1|BF177689_P1 1537 3262 466 85.2 globlastp LYD629_H6 trigonella|11v1|SRR066194X308576 1538 3263 466 84.2 globlastp LYD629_H15 medicago|12v1|AW256951_P1 1539 3264 466 83.3 globlastp LYD629_H7 medicago|09v1|LLAW256951 1540 3264 466 83.3 globlastp LYD629_H16 medicago|12v1|BI311156_P1 1541 3265 466 83 globlastp LYD629_H8 medicago|09v1|LLBI311156 1542 3265 466 83 globlastp LYD629_H9 trigonella|11v1|SRR066194X184937 1543 3266 466 83 globlastp LYD629_H10 peanut|10v1|SRR042413S0011977_P1 1544 3267 466 81.4 globlastp LYD629_H11 soybean|11v1|GLYMA08G06100 1545 3268 466 81.4 globlastp LYD630_H1 soybean|11v1|GLYMA12G01600 1546 3269 467 96.6 globlastp LYD630_H5 pigeonpea|11v1|SRR054580X116473_P1 1547 3270 467 90.2 globlastp LYD630_H6 bean|12v1|CB280685_P1 1548 3271 467 87.5 globlastp LYD630_H2 bean|gb167|CB280685 1549 3272 467 87.3 globlastp LYD630_H3 lotus|09v1|BP040921_P1 1550 3273 467 84.5 globlastp LYD630_H7 medicago|12v1|AW256804_T1 1551 3274 467 80.59 glotblastn LYD630_H4 medicago|09v1|LLAW776894 1552 3275 467 80.4 glotblastn LYD631_H1 soybean|11v1|GLYMA12G00640 1553 3276 468 94 globlastp LYD631_H2 cowpea|12v1|FG816078_P1 1554 3277 468 92 globlastp LYD631_H8 bean|12v1|EG562963_P1 1555 3278 468 91.1 globlastp LYD631_H2 cowpea|gb166|FG816078 1556 3279 468 87.7 globlastp LYD631_H9 pigeonpea|11v1|CCIIPG11021826_P1 1557 3280 468 87.4 globlastp LYD631_H10 pigeonpea|11v1|SRR054580X555062_P1 1558 3280 468 87.4 globlastp LYD631_H3 peanut|10v1|ES712405_P1 1559 3281 468 85.8 globlastp LYD631_H4 bean|gb167|CV530804 1560 3282 468 84.2 globlastp LYD631_H5 lotus|09v1|LLAW720068_P1 1561 3283 468 83 globlastp LYD631_H6 medicago|09v1|BE239557 1562 3284 468 81.9 glotblastn LYD631_H11 chickpea|11v1|SRR133517.10769_P1 1563 3285 468 81.8 globlastp LYD631_H12 medicago|12v1|BE239557_T1 1564 3286 468 81.61 glotblastn LYD631_H7 trigonella|11v1|SRR066194X150691 1565 3287 468 81.38 glotblastn LYD632_H3 soybean|11v1|GLYMA03G36100 1566 3288 469 95 globlastp LYD632_H6 pigeonpea|11v1|GR464470_P1 1567 3289 469 90.1 globlastp LYD632_H7 bean|12v1|FE693882_P1 1568 3290 469 89.1 globlastp LYD632_H4 bean|gb167|CV541137 1569 3291 469 88.8 globlastp LYD632_H5 cowpea|12v1|FF390940_P1 1570 3292 469 88.4 globlastp LYD632_H5 cowpea|gb166|FF390940 1571 3292 469 88.4 globlastp LYD634_H1 soybean|11v1|GLYMA11G18460 1572 3293 471 89.9 globlastp LYD634_H2 cowpea|12v1|FF384860_P1 1573 3294 471 87.6 globlastp LYD634_H2 cowpea|gb166|FF384860 1574 3294 471 87.6 globlastp LYD634_H6 bean|12v1|FE899187_P1 1575 3295 471 86.6 globlastp LYD634_H3 bean|gb167|CV532868 1576 3295 471 86.6 globlastp LYD634_H7 pigeonpea|11v1|EE605085_P1 1577 3296 471 83.7 globlastp LYD634_H4 pigeonpea|10v1|EE605085 1578 3296 471 83.7 globlastp LYD634_H5 soybean|11v1|GLYMA13G39040 1579 3297 471 80.71 glotblastn LYD635_H1 soybean|11v1|GLYMA19G01910 1580 3298 472 95 globlastp LYD635_H4 bean|12v1|SRR001334.123668_P1 1581 3299 472 84.1 globlastp LYD635_H5 pigeonpea|11v1|SRR054580X104907_P1 1582 3300 472 83.6 globlastp LYD635_H2 bean|gb167|FE680073 1583 3301 472 83.55 glotblastn LYD635_H3 cowpea|12v1|FF391308_P1 1584 3302 472 81.8 globlastp LYD635_H3 cowpea|gb166|FF391308 1585 3303 472 81.2 globlastp LYD636_H3 bean|12v1|CA908996_P1 1586 3304 473 92.5 globlastp LYD636_H1 soybean|11v1|GLYMA10G04660 1587 3305 473 91.6 globlastp LYD636_H4 pigeonpea|11v1|SRR054580X16507_P1 1588 3306 473 89.8 globlastp LYD636_H2 pigeonpea|10v1|SRR054580S0016508 1589 3307 473 87 globlastp LYD636_H5 chickpea|11v1|SRR133517.131366_P1 1590 3308 473 84.2 globlastp LYD636_H6 medicago|12v1|AW256943_P1 1591 3309 473 81.2 globlastp LYD638_H1 soybean|11v1|GLYMA15G03820 1592 3310 475 98.9 globlastp LYD638_H2 cowpea|12v1|FF394689_P1 1593 3311 475 97.1 globlastp LYD638_H2 cowpea|gb166|FF394689 1594 3311 475 97.1 globlastp LYD638_H81 pigeonpea|11v1|SRR054580X102130_P1 1595 3312 475 96.4 globlastp LYD638_H82 bean|12v1|FG229632_P1 1596 3313 475 95.7 globlastp LYD638_H3 bean|gb167|CV530755 1597 3313 475 95.7 globlastp LYD638_H83 chickpea|11v1|SRR133517.112219_P1 1598 3314 475 93.8 globlastp LYD638_H4 trigonella|11v1|SRR066194X12107 1599 3315 475 91.7 globlastp LYD638_H5 medicago|09v1|DY618321 1600 3316 475 91.3 globlastp LYD638_H6 castorbean|11v1|GE635823_P1 1601 3317 475 89.9 globlastp LYD638_H7 monkeyflower|10v1|GO987981_P1 1602 3318 475 89.9 globlastp LYD638_H84 beech|11v1|SRR006293.6452_T1 1603 3319 475 89.13 glotblastn LYD638_H8 orobanche|10v1|SRR023189S0002399_P1 1604 3320 475 89.1 globlastp LYD638_H9 cacao|10v1|CF974571_P1 1605 3321 475 88.8 globlastp LYD638_H10 grape|11v1|GSVIVT01025302001_P1 1606 3322 475 88.8 globlastp LYD638_H11 watermelon|11v1|CV004917 1607 3323 475 88.8 globlastp LYD638_H12 cotton|10v2|DV849102 1608 3324 475 88.41 glotblastn LYD638_H13 cotton|10v2|SRR032878S0082451 1609 3325 475 88.41 glotblastn LYD638_H14 fagopyrum|11v1|SRR063689X125403_T1 1610 3326 475 88.41 glotblastn LYD638_H15 cotton|10v2|CO088742 1611 3327 475 88.4 globlastp LYD638_H16 cotton|10v2|DT053039 1612 3327 475 88.4 globlastp LYD638_H17 cotton|10v2|SRR032878S0001106 1613 3328 475 88.4 globlastp LYD638_H18 cassava|09v1|JGICASSAVA30684VALIDM1_P1 1614 3329 475 88 globlastp LYD638_H19 oak|10v1|FP073589_P1 1615 3330 475 88 globlastp LYD638_H20 cucumber|09v1|CV004917_P1 1616 3331 475 87.7 globlastp LYD638_H21 flaveria|11v1|SRR149229.153655_P1 1617 3332 475 87.7 globlastp LYD638_H22 fagopyrum|11v1|SRR063689X115245_T1 1618 3333 475 87.32 glotblastn LYD638_H85 lettuce|12v1|DY981698_P1 1619 3334 475 87.3 globlastp LYD638_H23 artemisia|10v1|EY093426_P1 1620 3335 475 87.3 globlastp LYD638_H24 citrus|gb166|CB290538 1621 3336 475 87.3 globlastp LYD638_H25 orange|11v1|CB290538_P1 1622 3336 475 87.3 globlastp LYD638_H26 strawberry|11v1|CO381546 1623 3337 475 87.3 globlastp LYD638_H27 valeriana|11v1|SRR099039X104058 1624 3338 475 87.3 globlastp LYD638_H86 nasturtium|11v1|SRR032558.128316_P1 1625 3339 475 87 globlastp LYD638_H28 aquilegia|10v2|DR946895_P1 1626 3340 475 87 globlastp LYD638_H29 cannabis|12v1|JK501697_P1 1627 3341 475 87 globlastp LYD638_H30 clementine|11v1|CB290538_P1 1628 3342 475 87 globlastp LYD638_H31 flaveria|11v1|SRR149229.229217_P1 1629 3343 475 87 globlastp LYD638_H32 poplar|10v1|BU869270_P1 1630 3344 475 87 globlastp LYD638_H33 potato|10v1|BQ118035_P1 1631 3345 475 87 globlastp LYD638_H34 primula|11v1|SRR098679X102565_P1 1632 3346 475 87 globlastp LYD638_H35 solanum_phureja|09v1|SPHBG126806 1633 3345 475 87 globlastp LYD638_H36 tragopogon|10v1|SRR020205S0000931 1634 3347 475 87 globlastp LYD638_H37 cirsium|11v1|SRR346952.102669_P1 1635 3348 475 86.6 globlastp LYD638_H38 sunflower|10v1|EE615497 1636 3349 475 86.6 globlastp LYD638_H39 eucalyptus|11v2|ES588617_P1 1637 3350 475 86.2 globlastp LYD638_H40 euphorbia|11v1|DV126968_P1 1638 3351 475 86.2 globlastp LYD638_H41 tomato|11v1|BG126806 1639 3352 475 86.2 globlastp LYD638_H87 sunflower|12v1|EE615497_P1 1640 3353 475 85.9 globlastp LYD638_H42 apple|11v1|CV129099_P1 1641 3354 475 85.9 globlastp LYD638_H43 centaurea|gb166|EH713237_P1 1642 3355 475 85.9 globlastp LYD638_H44 cirsium|11v1|SRR346952.1023775_P1 1643 3355 475 85.9 globlastp LYD638_H45 prunus|10v1|BU039771 1644 3356 475 85.9 globlastp LYD638_H46 silene|11v1|SRR096785X108818 1645 3357 475 85.9 globlastp LYD638_H47 ambrosia|11v1|SRR346935.354746_T1 1646 3358 475 85.87 glotblastn LYD638_H48 aristolochia|10v1|SRR039082S0002743_P1 1647 3359 475 85.6 globlastp LYD638_H88 oil_palm|11v1|EL687196_P1 1648 3360 475 85.5 globlastp LYD638_H49 ambrosia|11v1|SRR346935.108772_T1 1649 3361 475 85.14 glotblastn LYD638_H50 flaveria|11v1|SRR149232.113890_T1 1650 3362 475 85.14 glotblastn LYD638_H89 poppy|11v1|SRR030259.114169_P1 1651 3363 475 85.1 globlastp LYD638_H90 amborella|12v3|SRR038634.23330_P1 1652 3364 475 84.8 globlastp LYD638_H51 poplar|10v1|XM002303855_P1 1653 3365 475 84.8 globlastp LYD638_H52 rice|11v1|AU031876_P1 1654 3366 475 84.8 globlastp LYD638_H52 rice|gb170|OS02G10230 1655 3366 475 84.8 globlastp LYD638_H53 thellungiella_parvulum|11v1|BY812134 1656 3367 475 84.8 globlastp LYD638_H91 onion|12v1|CF441304_T1 1657 3368 475 84.78 glotblastn LYD638_H54 monkeyflower|10v1|SRR037227S0052581_P1 1658 3369 475 84.6 globlastp LYD638_H92 beet|12v1|BQ593198_P1 1659 3370 475 84.5 globlastp LYD638_H93 poppy|11v1|SRR030259.110127_T1 1660 3371 475 84.42 glotblastn LYD638_H55 cirsium|11v1|SRR346952.1012572_T1 1661 3372 475 84.42 glotblastn LYD638_H56 tripterygium|11v1|SRR098677X170048 1662 3373 475 84.4 globlastp LYD638_H94 bean|12v1|SRR090491.1076536_P1 1663 3374 475 84.1 globlastp LYD638_H95 poppy|11v1|SRR033668.365155_P1 1664 3375 475 84.1 globlastp LYD638_H57 soybean|11v1|GLYMA11G14090 1665 3376 475 84.1 globlastp LYD638_H58 cucurbita|11v1|SRR091276X112061_T1 1666 3377 475 84.06 glotblastn LYD638_H96 b_juncea|12v1|E6ANDIZ01A97YX_P1 1667 3378 475 83.7 globlastp LYD638_H59 b_juncea|10v2|E6ANDIZ01A97YX 1668 3378 475 83.7 globlastp LYD638_H60 canola|11v1|EE439609_P1 1669 3378 475 83.7 globlastp LYD638_H61 canola|11v1|EE473348_P1 1670 3378 475 83.7 globlastp LYD638_H62 canola|11v1|SRR019557.21478_P1 1671 3378 475 83.7 globlastp LYD638_H63 phalaenopsis|11v1|SRR125771.1013801_P1 1672 3379 475 83.7 globlastp LYD638_H64 b_rapa|gb162|EE519713 1673 3380 475 83.33 glotblastn LYD638_H65 radish|gb164|EV530173 1674 3381 475 83.3 globlastp LYD638_H97 b_rapa|11v1|CD813392_P1 1675 3382 475 83.1 globlastp LYD638_H98 gossypium_raimondii|12v1|DV849102_P1 1676 3383 475 83 globlastp LYD638_H66 thellungiella_halophilum|11v1|BY812134 1677 3384 475 82.7 globlastp LYD638_H67 amorphophallus|11v2|SRR089351X167144_T1 1678 3385 475 82.61 glotblastn LYD638_H68 phyla|11v2|SRR099037X109540_T1 1679 3386 475 82.61 glotblastn LYD638_H99 chickpea|11v1|SRR133517.214658_T1 1680 3387 475 82.25 glotblastn LYD638_H69 ambrosia|11v1|SRR346935.23488_P1 1681 3388 475 82.2 globlastp LYD638_H70 arabidopsis_lyrata|09v1|JGIAL010678_P1 1682 3389 475 82.2 globlastp LYD638_H71 triphysaria|10v1|EY128050 1683 3390 475 82.2 globlastp LYD638_H100 b_juncea|12v1|E6ANDIZ01EK3W2_P1 1684 3391 475 81.5 globlastp LYD638_H101 medicago|12v1|BE324303_P1 1685 3392 475 81.5 globlastp LYD638_H72 arabidopsis|10v1|AT3G20870_P1 1686 3393 475 81.5 globlastp LYD638_H73 lotus|09v1|BP048291_P1 1687 3394 475 81.5 globlastp LYD638_H74 podocarpus|10v1|SRR065014S0046390_T1 1688 3395 475 80.94 glotblastn LYD638_H102 pigeonpea|11v1|CCIIPG11000248_P1 1689 3396 475 80.9 globlastp LYD638_H75 dandelion|10v1|DY818839_P1 1690 3397 475 80.9 globlastp LYD638_H103 spruce|11v1|EX419926_P1 1691 3398 475 80.8 globlastp LYD638_H76 spruce|gb162|CO487657 1692 3398 475 80.8 globlastp LYD638_H104 brachypodium|12v1|BRADI3G07080T2_P1 1693 3399 475 80.5 globlastp LYD638_H77 brachypodium|09v1|DV486023 1694 3399 475 80.5 globlastp LYD638_H78 peanut|10v1|SRR042413S0014432_P1 1695 3400 475 80.4 globlastp LYD638_H105 rye|12v1|DRR001012.1356_P1 1696 3401 475 80.1 globlastp LYD638_H79 barley|10v2|BG417171 1697 3402 475 80.1 globlastp LYD638_H80 wheat|10v2|BE213609 1698 3403 475 80.1 globlastp LYD639_H1 soybean|11v1|GLYMA19G11770 1699 3404 476 88.6 globlastp LYD639_H3 pigeonpea|11v1|SRR054580X152862_P1 1700 3405 476 81.8 globlastp LYD639_H2 cowpea|12v1|FF389274_T1 1701 3406 476 81.38 glotblastn LYD639_H2 cowpea|gb166|FF389274 1702 3407 476 80.87 glotblastn LYD640_H1 soybean|11v1|GLYMA02G37400 1703 3408 477 93.4 globlastp LYD640_H4 pigeonpea|11v1|SRR054580X16367_P1 1704 3409 477 87.1 globlastp LYD640_H2 cowpea|12v1|VIRPSAS_T1 1705 3410 477 87.07 glotblastn LYD640_H2 cowpea|gb166|VIRPSAS 1706 3410 477 87.07 glotblastn LYD640_H5 bean|12v1|SRR001334.200990_P1 1707 3411 477 86.8 globlastp LYD640_H3 bean|gb167|CV535087 1708 3412 477 86.34 glotblastn LYD642_H9 pigeonpea|11v1|EE604557_P1 1709 3413 479 91.1 globlastp LYD642_H1 bean|gb167|FD785160 1710 3414 479 91.1 globlastp LYD642_H2 cowpea|12v1|FF540232_P1 1711 3415 479 91.1 globlastp LYD642_H2 cowpea|gb166|FF540232 1712 3415 479 91.1 globlastp LYD642_H3 pigeonpea|10v1|EE604557 1713 3413 479 91.1 globlastp LYD642_H4 soybean|11v1|GLYMA09G04350 1714 3416 479 90.3 globlastp LYD642_H10 bean|12v1|SRR001335.120177_P1 1715 3417 479 90 globlastp LYD642_H5 lotus|09v1|LLGO008153_P1 1716 3418 479 87.9 globlastp LYD642_H6 liquorice|gb171|FS239800_P1 1717 3419 479 87 globlastp LYD642_H11 medicago|12v1|AL377555_T1 1718 3420 479 83.52 glotblastn LYD642_H7 medicago|09v1|AL377555 1719 3421 479 83.5 globlastp LYD642_H12 chickpea|11v1|SRR133517.117851_P1 1720 3422 479 81.3 globlastp LYD642_H8 prunus|10v1|CO416682 1721 3423 479 80.43 glotblastn LYD643_H1 soybean|11v1|GLYMA07G06550 1722 3424 480 93.1 globlastp LYD643_H8 pigeonpea|11v1|GR470036_P1 1723 3425 480 91.6 globlastp LYD643_H2 pigeonpea|10v1|GR470036 1724 3425 480 91.6 globlastp LYD643_H3 cowpea|gb166|FF540040 1725 3426 480 89.3 globlastp LYD643_H9 bean|12v1|CB542964_P1 1726 3427 480 88.4 globlastp LYD643_H4 bean|gb167|CB542736 1727 3428 480 88 globlastp LYD643_H10 cowpea|12v1|FF540040_P1 1728 3429 480 87.9 globlastp LYD643_H11 medicago|12v1|BG452896_P1 1729 3430 480 85.6 globlastp LYD643_H5 medicago|09v1|BG452896 1730 3430 480 85.6 globlastp LYD643_H6 lotus|09v1|LLGO012566_T1 1731 3431 480 85.05 glotblastn LYD643_H12 chickpea|11v1|SRR133517.113264_P1 1732 3432 480 83.2 globlastp LYD643_H7 clover|gb162|BB918052_P1 1733 3433 480 82.7 globlastp LYD644_H1 soybean|11v1|GLYMA07G39320 1734 3434 481 98.2 globlastp LYD644_H6 bean|12v1|SRR001334.118891_P1 1735 3435 481 91.4 globlastp LYD644_H2 trigonella|11v1|SRR066194X104241 1736 3436 481 87.4 globlastp LYD644_H7 medicago|12v1|BE204178_P1 1737 3437 481 86.6 globlastp LYD644_H8 medicago|12v1|BF641611_P1 1738 3437 481 86.6 globlastp LYD644_H4 soybean|11v1|GLYMA13G10490 1739 3438 481 85.7 globlastp LYD644_H5 soybean|11v1|GLYMA20G16230 1740 3439 481 85.5 globlastp LYD644_H9 pigeonpea|11v1|SRR054580X124197_P1 1741 3440 481 84.3 globlastp LYD644_H10 bean|12v1|SRR001334.288940_P1 1742 3441 481 83.5 globlastp LYD645_H1 soybean|11v1|GLYMA07G38340 1743 3442 482 92.2 globlastp LYD645_H6 bean|12v1|CB542096_P1 1744 3443 482 87.4 globlastp LYD645_H2 bean|gb167|CB542096 1745 3443 482 87.4 globlastp LYD645_H3 cowpea|12v1|FF383417_P1 1746 3444 482 86.6 globlastp LYD645_H3 cowpea|gb166|FF383417 1747 3444 482 86.6 globlastp LYD645_H7 pigeonpea|11v1|SRR054580X16291_P1 1748 3445 482 86 globlastp LYD645_H4 pigeonpea|10v1|SRR054580S0016292 1749 3445 482 86 globlastp LYD645_H5 lotus|09v1|CB827458_P1 1750 3446 482 80.5 globlastp LYD647_H1 soybean|11v1|GLYMA08G41040 1751 3447 484 83.9 globlastp LYD648_H1 potato|10v1|BF153552_P1 1752 3448 485 95.4 globlastp LYD648_H2 solanum_phureja|09v1|SPHAI780847 1753 3449 485 95.1 globlastp LYD648_H7 pepper|12v1|GD067902_P1 1754 3450 485 92.2 globlastp LYD648_H3 eggplant|10v1|FS007304_P1 1755 3451 485 91.9 globlastp LYD648_H4 tobacco|gb162|EB443178 1756 3452 485 83.7 globlastp LYD648_H5 nicotiana_benthamiana|gb162|CK281577_P1 1757 3453 485 82.9 globlastp LYD648_H6 nicotiana_benthamiana|gb162|CK282667_P1 1758 3454 485 82.2 globlastp LYD650_H1 solanum_phureja|09v1|SPHAF204783 1759 3455 486 95.5 globlastp LYD650_H2 potato|10v1|CV494921_T1 1760 3456 486 93.33 glotblastn LYD650_H4 eggplant|10v1|FS037047_P1 1761 3457 486 85.8 globlastp LYD650_H5 pepper|12v1|BM066147_P1 1762 3458 486 84.9 globlastp LYD650_H5 pepper|gb171|BM066147 1763 3458 486 84.9 globlastp LYD651_H2 tobacco|gb162|AF211738 1764 3459 487 80.7 globlastp LYD653_H1 tomato|11v1|BG123578 1765 3460 489 85.33 glotblastn LYD653_H2 petunia|gb171|CV294459_P1 1766 3461 489 83.1 globlastp LYD653_H3 potato|10v1|BQ516821_T1 1767 3462 489 81.33 glotblastn LYD653_H4 solanum_phureja|09v1|SPHBG123578 1768 3463 489 81.33 glotblastn LYD654_H1 solanum_phureja|09v1|SPHAI782247 1769 3464 490 98 globlastp LYD654_H2 pepper|12v1|BM063093_P1 1770 3465 490 95 globlastp LYD655_H1 solanum_phureja|09v1|SPHAI896168 1771 3466 491 95.6 globlastp LYD655_H2 pepper|12v1|CO909199_P1 1772 3467 491 88.4 globlastp LYD655_H2 pepper|gb171|CO909199 1773 3467 491 88.4 globlastp LYD655_H3 potato|10v1|BF460284_P1 1774 3468 491 85.9 globlastp LYD655_H4 tobacco|gb162|CV019561 1775 3469 491 85.58 glotblastn LYD655_H5 petunia|gb171|CV295783_P1 1776 3470 491 81.3 globlastp LYD657_H1 solanum_phureja|09v1|SPHAW030194 1777 3471 492 96.9 globlastp LYD658_H1 solanum_phureja|09v1|SPHAW094631 1778 3472 493 94.6 globlastp LYD658_H2 potato|10v1|BF187607_P1 1779 3473 493 81.7 globlastp LYD658_H3 nicotiana_benthamiana|gb162|CK280675_T1 1780 3474 493 80.46 glotblastn LYD658_H4 nicotiana_benthamiana|gb162|CK288269_P1 1781 3475 493 80.2 globlastp LYD659_H1 solanum_phureja|09v1|SPHAW217526 1782 3476 494 97 globlastp LYD659_H2 amsonia|11v1|SRR098688X140968_T1 1783 3477 494 80.71 glotblastn LYD660_H1 solanum_phureja|09v1|SPHAW616260 1784 3478 495 97.4 globlastp LYD661_H1 solanum_phureja|09v1|SPHAW616620 1785 3479 496 98.3 globlastp LYD661_H2 cacao|10v1|CU538010_P1 1786 3480 496 82 globlastp LYD661_H3 cassava|09v1|DB937952_P1 1787 3481 496 81.9 globlastp LYD661_H4 poplar|10v1|BI069117_P1 1788 3482 496 81.3 globlastp LYD661_H5 eucalyptus|11v2|ES591203_P1 1789 3483 496 81 globlastp LYD661_H6 grape|11v1|GSVIVT01033168001_P1 1790 3484 496 80.9 globlastp LYD661_H10 cotton|11v1|DW488153_P1 1791 3485 496 80.7 globlastp LYD661_H11 gossypium_raimondii|12v1|DR454811_P1 1792 3486 496 80.7 globlastp LYD661_H7 castorbean|11v1|XM_002515320_P1 1793 3487 496 80.7 globlastp LYD661_H8 cotton|10v2|DR454811 1794 3488 496 80.6 globlastp LYD661_H12 cotton|11v1|AI727236_T1 1795 3489 496 80.43 glotblastn LYD661_H13 cotton|11v1|BE054582_T1 1796 3490 496 80.43 glotblastn LYD661_H14 cotton|11v1|DR454811_P1 1797 3491 496 80.4 globlastp LYD661_H15 gossypium_raimondii|12v1|AI727236_P1 1798 3492 496 80.4 globlastp LYD661_H9 cotton|10v2|AI727236 1799 3493 496 80.3 globlastp LYD662_H1 solanum_phureja|09v1|SPHAW618546 1800 3494 497 96.5 globlastp LYD662_H2 eggplant|10v1|FS033651_P1 1801 3495 497 89 globlastp LYD663_H1 solanum_phureja|09v1|SPHAY376851 1802 3496 498 90.5 globlastp LYD663_H2 potato|10v1|CV502621_T1 1803 3497 498 88.51 glotblastn LYD664_H1 solanum_phureja|09v1|SPHBE460507 1804 3498 499 90 globlastp LYD666_H3 pepper|12v2|BM061649_P1 1805 3499 501 91.6 globlastp LYD666_H3 pepper|gb171|BM061649 1806 3499 501 91.6 globlastp LYD666_H4 tobacco|gb162|AY639146 1807 3500 501 87.5 globlastp LYD667_H1 solanum_phureja|09v1|SPHBG123287 1808 3501 502 98.2 globlastp LYD667_H2 pepper|12v1|CA522829_P1 1809 3502 502 86.6 globlastp LYD667_H2 pepper|gb171|CA522829 1810 3502 502 86.6 globlastp LYD667_H3 potato|10v1|BG350145_P1 1811 3503 502 85.7 globlastp LYD667_H4 solanum_phureja|09v1|SPHBG126102 1812 3503 502 85.7 globlastp LYD667_H5 tomato|11v1|BG126102 1813 3504 502 85.7 globlastp LYD669_H1 solanum_phureja|09v1|SPHBG127852 1814 3505 504 99.1 globlastp LYD669_H2 pepper|12v1|BM063343_P1 1815 3506 504 96.2 globlastp LYD669_H3 catharanthus|11v1|EG555968_P1 1816 3507 504 86.8 globlastp LYD669_H4 vinca|11v1|SRR098690X137330 1817 3508 504 86.55 glotblastn LYD669_H5 tabernaemontana|11v1|SRR098689X113952 1818 3509 504 86.5 globlastp LYD669_H6 amsonia|11v1|SRR098688X123659_P1 1819 3510 504 86.1 globlastp LYD669_H7 vinca|11v1|SRR098690X130330 1820 3511 504 85.23 glotblastn LYD669_H8 valeriana|11v1|SRR099039X100383 1821 3512 504 85 globlastp LYD669_H9 kiwi|gb166|FG397105_P1 1822 3513 504 84.1 globlastp LYD669_H10 potato|10v1|BF459943_P1 1823 3514 504 84.1 globlastp LYD669_H33 beech|11v1|SRR006293.14617_T1 1824 3515 504 83.18 glotblastn LYD669_H11 chestnut|gb170|SRR006295S0021602_P1 1825 3516 504 83 globlastp LYD669_H12 citrus|gb166|BE205717 1826 3517 504 83 globlastp LYD669_H13 clementine|11v1|BE205717_P1 1827 3518 504 83 globlastp LYD669_H14 orange|11v1|BE205717_P1 1828 3519 504 82.7 globlastp LYD669_H15 watermelon|11v1|VMEL00070338543255 1829 3520 504 82.1 globlastp LYD669_H34 beech|11v1|FR603623_T1 1830 3521 504 81.84 glotblastn LYD669_H16 oak|10v1|DN950840_P1 1831 3522 504 81.8 globlastp LYD669_H17 phyla|11v2|SRR099035X111901_P1 1832 3523 504 81.8 globlastp LYD669_H35 gossypium_raimondii|12v1|CA993556_P1 1833 3524 504 81.4 globlastp LYD669_H18 apple|11v1|CN578861_P1 1834 3525 504 81.4 globlastp LYD669_H36 gossypium_raimondii|12v1|DR452577_P1 1835 3526 504 81.2 globlastp LYD669_H19 cotton|10v2|CO116252 1836 3527 504 81.2 globlastp LYD669_H20 prunus|10v1|BU047497 1837 3528 504 81.2 globlastp LYD669_H21 strawberry|11v1|CO380648 1838 3529 504 81.2 globlastp LYD669_H37 lettuce|12v1|LS12v1CRP084179_P1 1839 3530 504 81 globlastp LYD669_H38 cotton|11v1|CA993556_P1 1840 3531 504 80.9 globlastp LYD669_H22 cacao|10v1|CU483136_P1 1841 3532 504 80.9 globlastp LYD669_H23 cucumber|09v1|BGI454G0169927_P1 1842 3533 504 80.9 globlastp LYD669_H24 poplar|10v1|BU879857_P1 1843 3534 504 80.9 globlastp LYD669_H39 cotton|11v1|DR452577XX1_T1 1844 3535 504 80.72 glotblastn LYD669_H25 cotton|10v2|CA993556 1845 3536 504 80.7 globlastp LYD669_H26 euonymus|11v1|SRR070038X104702_P1 1846 3537 504 80.7 globlastp LYD669_H27 melon|10v1|VMEL00070338543255_P1 1847 3538 504 80.7 globlastp LYD669_H28 aristolochia|10v1|FD752757_P1 1848 3539 504 80.5 globlastp LYD669_H29 euonymus|11v1|SRR070038X151093_P1 1849 3540 504 80.5 globlastp LYD669_H30 tripterygium|11v1|SRR098677X123156 1850 3541 504 80.5 globlastp LYD669_H31 poplar|10v1|BU820108_P1 1851 3542 504 80.3 globlastp LYD669_H32 apple|11v1|CN496454_P1 1852 3543 504 80 globlastp LYD670_H1 solanum_phureja|09v1|SPHBG126384 1853 3544 505 93.7 globlastp LYD670_H2 potato|10v1|BE922534_T1 1854 3545 505 90.66 glotblastn LYD672_H1 solanum_phureja|09v1|SPHBG134039 1855 3546 507 95.3 globlastp LYD672_H2 pepper|12v1|CA519411_P1 1856 3547 507 88.3 globlastp LYD672_H2 pepper|gb171|CA519411 1857 3547 507 88.3 globlastp LYD672_H3 tobacco|gb162|DW004996 1858 3548 507 82.57 glotblastn LYD674_H1 potato|10v1|BE921584_P1 1859 3549 509 93 globlastp LYD674_H2 solanum_phureja|09v1|SPHBG133722 1860 3550 509 93 globlastp LYD674_H3 eggplant|10v1|FS004197_P1 1861 3551 509 87.3 globlastp LYD674_H4 nicotiana_benthamiana|gb162|CK293409_P1 1862 3552 509 81.8 globlastp LYD677_H1 solanum_phureja|09v1|SPHBG592613 1863 3553 512 96 globlastp LYD678_H1 potato|10v1|BG598437_P1 1864 3554 513 97.5 globlastp LYD678_H2 solanum_phureja|09v1|SPHBG626546 1865 3555 513 96.8 globlastp LYD680_H2 tabernaemontana|11v1|SRR098689X116012 1866 3556 515 80.77 glotblastn LYD681_H1 solanum_phureja|09v1|SPHBG630045 1867 3557 516 98.6 globlastp LYD681_H2 potato|10v1|BF053994_P1 1868 3558 516 98.4 globlastp LYD681_H3 amsonia|11v1|SRR098688X101055_P1 1869 3559 516 89.7 globlastp LYD681_H4 catharanthus|11v1|SRR098691X104148_P1 1870 3560 516 89.7 globlastp LYD681_H5 tabernaemontana|11v1|SRR098689X106474 1871 3561 516 89.1 globlastp LYD681_H6 vinca|11v1|SRR098690X10387 1872 3562 516 87.7 globlastp LYD681_H7 phyla|11v2|SRR099035X141015_T1 1873 3563 516 87.3 glotblastn LYD681_H8 orobanche|10v1|SRR023189S0004460_P1 1874 3564 516 86.3 globlastp LYD681_H9 monkeyflower|10v1|DV211803_P1 1875 3565 516 85.7 globlastp LYD681_H10 arnica|11v1|SRR099034X102089_P1 1876 3566 516 85.5 globlastp LYD681_H58 sunflower|12v1|DY921230_P1 1877 3567 516 85.1 globlastp LYD681_H11 arabidopsis_lyrata|09v1|JGIAL027489_P1 1878 3568 516 85.1 globlastp LYD681_H12 sunflower|10v1|DY921230 1879 3567 516 85.1 globlastp LYD681_H13 arabidopsis_lyrata|09v1|JGIAL005462_P1 1880 3569 516 84.9 globlastp LYD681_H14 arabidopsis|10v1|AT1G64190_P1 1881 3570 516 84.9 globlastp LYD681_H15 thellungiella_halophilum|11v1|BY804243 1882 3571 516 84.9 globlastp LYD681_H16 canola|11v1|EE413371_T1 1883 3572 516 84.88 glotblastn LYD681_H17 canola|11v1|EE415072_T1 1884 3573 516 84.88 glotblastn LYD681_H59 b_rapa|11v1|BG543930_P1 1885 3574 516 84.7 globlastp LYD681_H60 b_rapa|11v1|CV433796_P1 1886 3575 516 84.7 globlastp LYD681_H18 b_rapa|gb162|CV433796 1887 3575 516 84.7 globlastp LYD681_H19 canola|11v1|EE417941_P1 1888 3575 516 84.7 globlastp LYD681_H20 canola|11v1|ES911843_P1 1889 3575 516 84.7 globlastp LYD681_H61 b_rapa|11v1|CD814820_T1 1890 3576 516 84.68 glotblastn LYD681_H21 arabidopsis|10v1|AT5G41670_P1 1891 3577 516 84.5 globlastp LYD681_H22 lettuce|10v1|DW169046 1892 3578 516 84.5 globlastp LYD681_H23 ambrosia|11v1|SRR346935.204066_T1 1893 3579 516 84.48 glotblastn LYD681_H24 ambrosia|11v1|SRR346935.404337_T1 1894 3580 516 84.48 glotblastn LYD681_H22 lettuce|12v1|DW166137_P1 1895 3581 516 84.1 globlastp LYD681_H25 cirsium|11v1|SRR346952.13802_T1 1896 3582 516 84.07 glotblastn LYD681_H26 vinca|11v1|SRR098690X113839 1897 3583 516 84.07 glotblastn LYD681_H62 nasturtium|11v1|SRR032558.171608_P1 1898 3584 516 83.5 globlastp LYD681_H27 cacao|10v1|CU508968_P1 1899 3585 516 83.1 globlastp LYD681_H28 citrus|gb166|CN190890 1900 3586 516 83.06 glotblastn LYD681_H29 ambrosia|11v1|SRR346935.402152_T1 1901 3587 516 82.9 glotblastn LYD681_H30 cucumber|09v1|EB716020_P1 1902 3588 516 82.9 globlastp LYD681_H31 cynara|gb167|GE577931_T1 1903 3589 516 82.86 glotblastn LYD681_H63 pigeonpea|11v1|GW359493_P1 1904 3590 516 82.8 globlastp LYD681_H32 castorbean|11v1|GE634479_P1 1905 3591 516 82.7 globlastp LYD681_H33 soybean|11v1|GLYMA08G02410 1906 3592 516 82.7 globlastp LYD681_H64 cotton|11v1|BQ410946_P1 1907 3593 516 82.5 globlastp LYD681_H34 castorbean|11v1|XM_002509856_P1 1908 3594 516 82.5 globlastp LYD681_H35 euonymus|11v1|SRR070038X108968_P1 1909 3595 516 82.5 globlastp LYD681_H36 grape|11v1|GSVIVT01019467001_P1 1910 3596 516 82.5 globlastp LYD681_H37 tripterygium|11v1|SRR098677X111190 1911 3597 516 82.5 globlastp LYD681_H65 gossypium_raimondii|12v1|AI730491_P1 1912 3598 516 82.3 globlastp LYD681_H38 cotton|10v2|CO076294 1913 3599 516 82.3 globlastp LYD681_H39 watermelon|11v1|AM715537 1914 3600 516 82.3 globlastp LYD681_H40 strawberry|11v1|EX672776 1915 3601 516 82.2 globlastp LYD681_H41 soybean|11v1|GLYMA05G37170 1916 3602 516 82.1 globlastp LYD681_H42 trigonella|11v1|SRR066194X112434 1917 3603 516 82.1 globlastp LYD681_H43 medicago|09v1|LLAL384701 1918 3604 516 82.06 glotblastn LYD681_H44 clementine|11v1|CN190890_P1 1919 3605 516 81.9 globlastp LYD681_H45 prunus|10v1|CN863535 1920 3606 516 81.9 globlastp LYD681_H46 thellungiella_halophilum|11v1|EHJGI11021359 1921 3607 516 81.9 globlastp LYD681_H47 euonymus|11v1|SRR070038X107038_P1 1922 3608 516 81.8 globlastp LYD681_H48 platanus|11v1|SRR096786X140780_P1 1923 3609 516 81.7 globlastp LYD681_H49 lotus|09v1|LLAV410725_P1 1924 3610 516 81.5 globlastp LYD681_H50 oak|10v1|FP025719_P1 1925 3611 516 81.5 globlastp LYD681_H66 beech|11v1|SRR006293.12520_P1 1926 3612 516 81.4 globlastp LYD681_H67 chickpea|11v1|GR912701_P1 1927 3613 516 81.3 globlastp LYD681_H68 poppy|11v1|SRR030259.136321_P1 1928 3614 516 81.3 globlastp LYD681_H51 aquilegia|10v2|DR920343_P1 1929 3615 516 81.3 globlastp LYD681_H52 poplar|10v1|BU829466_P1 1930 3616 516 81.3 globlastp LYD681_H69 poppy|11v1|FE965679_P1 1931 3617 516 81.1 globlastp LYD681_H53 chestnut|gb170|SRR006295S0044488_P1 1932 3618 516 81.1 globlastp LYD681_H70 poppy|11v1|SRR096789.181966_T1 1933 3619 516 81.05 glotblastn LYD681_H71 poppy|11v1|SRR030259.353240_P1 1934 3620 516 80.9 globlastp LYD681_H54 poplar|10v1|AI165699_P1 1935 3621 516 80.8 globlastp LYD681_H55 aristolochia|10v1|FD755163_T1 1936 3622 516 80.65 glotblastn LYD681_H72 bean|12v1|CA900025_T1 1937 3623 516 80.52 glotblastn LYD681_H73 amborella|12v3|SRR038635.70340_P1 1938 3624 516 80.5 globlastp LYD681_H56 orange|11v1|CN190890_P1 1939 3625 516 80.5 globlastp LYD681_H57 silene|11v1|SRR096785X102909 1940 3626 516 80.24 glotblastn LYD682_H1 solanum_phureja|09v1|SPHBG630298 1941 3627 517 95.9 globlastp LYD684_H1 solanum_phureja|09v1|SPHBG734982 1942 3628 519 96.2 globlastp LYD684_H2 pepper|gb171|CA524110 1943 3629 519 85.5 globlastp LYD685_H1 solanum_phureja|09v1|SPHS70186 1944 3630 520 91.05 glotblastn LYD685_H2 potato|10v1|S70186_P1 1945 3631 520 89.8 globlastp LYD686_H1 solanum_phureja|09v1|SPHBI405665 1946 3632 521 96.4 globlastp LYD686_H2 solanum_phureja|09v1|SPHBG130034 1947 3633 521 83.1 globlastp LYD686_H3 tomato|11v1|BG130034 1948 3634 521 81.1 globlastp LYD686_H4 amsonia|11v1|SRR098688X125511_P1 1949 3635 521 80.2 globlastp LYD687_H1 solanum_phureja|09v1|SPHSRR015435S0022465 1950 3636 522 98.5 globlastp LYD689_H1 solanum_phureja|09v1|SPHBQ512926 1951 3637 524 91.9 globlastp LYD689_H2 potato|10v1|BQ512926_P1 1952 3638 524 91.4 globlastp LYD689_H3 eggplant|10v1|FS050105_P1 1953 3639 524 82.7 globlastp LYD689_H4 pepper|12v1|GD093486_P1 1954 3640 524 81.8 globlastp LYD689_H5 tobacco|gb162|EB425168 1955 3641 524 80.8 globlastp LYD690_H1 solanum_phureja|09v1|SPHDN978843 1956 3642 525 81.2 globlastp LYD538_H29 b_juncea|12v1|E6ANDIZ01DI5V0_P1 1957 3643 528 85.4 globlastp LYD539_H5 arabidopsis_lyrata|09v1|JGIAL032238_T1 1958 3644 529 94.23 glotblastn LYD539_H12 b_oleracea|gb161|EH415045_P1 1959 3645 529 87.7 globlastp LYD539_H13 cleome_spinosa|10v1|GR933964_T1 1960 3646 529 82.28 glotblastn LYD540_H2 thellungiella_parvulum|11v1|BM986015 1961 3647 530 84.57 glotblastn LYD540_H3 thellungiella_halophilum|11v1|BY819763 1962 3648 530 81.91 glotblastn LYD540_H4 arabidopsis_lyrata|09v1|JGIAL006775_T1 1963 3649 530 81.38 glotblastn LYD548_H11 euphorbia|11v1|DV124286_P1 1964 3650 533 82.5 globlastp LYD548_H12 spurge|gb161|DV124286 1965 3651 533 82.1 globlastp LYD548_H19 beech|11v1|SRR006293.7878_T1 1966 3652 533 80 glotblastn LYD548_H13 papaya|gb165|EX247662_T1 1967 3653 533 80 glotblastn LYD548_H14 prunus|10v1|BU039510 1968 3654 533 80 glotblastn LYD549_H1 b_rapa|gb162|BG544752 1969 3655 534 98.89 glotblastn LYD550_H1 canola|11v1|EV151262_T1 1970 3656 535 97.94 glotblastn LYD550_H4 arabidopsis|10v1|AT3G16290_T1 1971 3657 535 95.46 glotblastn LYD550_H6 radish|gb164|EV569321 1972 3658 535 92.4 globlastp LYD550_H7 cacao|10v1|CU477476_T1 1973 3659 535 88.25 glotblastn LYD550_H8 poplar|10v1|CA924970_T1 1974 3660 535 87.63 glotblastn LYD550_H9 apple|11v1|CN496155_T1 1975 3661 535 86.8 glotblastn LYD550_H10 castorbean|11v1|EE255437_T1 1976 3662 535 86.8 glotblastn LYD550_H11 prunus|10v1|BU043895 1977 3663 535 86.8 glotblastn LYD550_H47 gossypium_raimondii|12v1|AI725752_T1 1978 3664 535 86.39 glotblastn LYD550_H12 cassava|09v1|CK643710_T1 1979 3665 535 86.39 glotblastn LYD550_H13 eucalyptus|11v2|SRR001659X130634_T1 1980 3666 535 86.39 glotblastn LYD550_H14 vinca|11v1|SRR098690X123915 1981 3667 535 86.39 glotblastn LYD550_H48 cotton|11v1|AI725752_T1 1982 3668 535 86.19 glotblastn LYD550_H15 grape|11v1|GSVIVT01017029001_T1 1983 3669 535 86.19 glotblastn LYD550_H16 cotton|10v2|SRR032367S0109017 1984 3670 535 86.01 glotblastn LYD550_H49 pigeonpea|11v1|SRR054580X104890_T1 1985 3671 535 85.77 glotblastn LYD550_H17 clementine|11v1|CD574164_T1 1986 3672 535 85.77 glotblastn LYD550_H18 orange|11v1|CD574164_T1 1987 3673 535 85.77 glotblastn LYD550_H19 pigeonpea|10v1|SRR054580S0015969 1988 3674 535 85.77 glotblastn LYD550_H20 prunus|10v1|CN934625 1989 3675 535 85.77 glotblastn LYD550_H21 tripterygium|11v1|SRR098677X101640 1990 3676 535 85.77 glotblastn LYD550_H22 oak|10v1|FP027246_T1 1991 3677 535 85.57 glotblastn LYD550_H23 watermelon|11v1|AM733953 1992 3678 535 85.36 glotblastn LYD550_H50 sesame|12v1|SESI12V1405091_T1 1993 3679 535 85.15 glotblastn LYD550_H24 strawberry|11v1|DV439362 1994 3680 535 85.15 glotblastn LYD550_H25 amsonia|11v1|SRR098688X115480_T1 1995 3681 535 84.95 glotblastn LYD550_H26 monkeyflower|10v1|DV209912_T1 1996 3682 535 84.95 glotblastn LYD550_H27 tabernaemontana|11v1|SRR098689X108650 1997 3683 535 84.95 glotblastn LYD550_H28 artemisia|10v1|EY090642_T1 1998 3684 535 84.74 glotblastn LYD550_H51 bean|12v1|CA902012_T1 1999 3685 535 84.33 glotblastn LYD550_H29 soybean|11v1|GLYMA15G02170 2000 3686 535 84.33 glotblastn LYD550_H30 soybean|11v1|GLYMA13G43180 2001 3687 535 83.92 glotblastn LYD550_H31 cotton|10v2|SRR032367S1095891 2002 3688 535 83.8 globlastp LYD550_H32 solanum_phureja|09v1|SPHAI781891 2003 3689 535 83.78 glotblastn LYD550_H33 flaveria|11v1|SRR149229.156308_T1 2004 3690 535 83.71 glotblastn LYD550_H34 cucumber|09v1|AM733953_T1 2005 3691 535 83.51 glotblastn LYD550_H35 flaveria|11v1|SRR149229.187611_T1 2006 3692 535 83.51 glotblastn LYD550_H36 tomato|11v1|AI781891 2007 3693 535 83.16 glotblastn LYD550_H37 melon|10v1|AM733953_T1 2008 3694 535 82.79 glotblastn LYD550_H52 beech|11v1|SRR006293.13266_P1 2009 3695 535 82.7 globlastp LYD550_H38 sunflower|10v1|DY912854 2010 3696 535 82.68 glotblastn LYD550_H53 oil_palm|11v1|EL930445_T1 2011 3697 535 82.47 glotblastn LYD550_H39 ambrosia|11v1|SRR346935.130719_T1 2012 3698 535 82.47 glotblastn LYD550_H54 banana|12v1|MAGEN2012034046_T1 2013 3699 535 82.27 glotblastn LYD550_H40 ambrosia|11v1|SRR346935.123018_T1 2014 3700 535 82.27 glotblastn LYD550_H41 silene|11v1|SRR096785X132229 2015 3701 535 81.44 glotblastn LYD550_H42 aristolochia|10v1|FD762492_T1 2016 3702 535 81.03 glotblastn LYD550_H43 cirsium|11v1|SRR346952.1061150_P1 2017 3703 535 81 globlastp LYD550_H44 aquilegia|10v2|DR915316_T1 2018 3704 535 80.82 glotblastn LYD550_H55 poppy|11v1|SRR030259.168193_T1 2019 3705 535 80.41 glotblastn LYD550_H45 cirsium|11v1|SRR346952.1049224_T1 2020 3706 535 80.41 glotblastn LYD553_H3 canola|11v1|SRR341920.517375_T1 2021 3707 536 92.8 glotblastn LYD553_H6 canola|11v1|EE475615_P1 2022 3708 536 90.5 globlastp LYD584_H1 trigonella|11v1|SRR066194X103417 2023 3709 537 92.46 glotblastn LYD584_H2 soybean|11v1|GLYMA08G44490 2024 3710 537 81.26 glotblastn LYD584_H3 pigeonpea|11v1|SRR054580X106211_T1 2025 3711 537 80.67 glotblastn LYD592_H1 medicago|09v1|CRPMT037344 2026 3712 539 94.1 globlastp LYD619_H1 soybean|11v1|GLYMA06G16290 2027 3713 540 80.6 globlastp LYD633_H1 soybean|11v1|GLYMA11G10300 2028 3714 543 89 globlastp LYD633_H2 bean|12v1|SRR001334.148755_P1 2029 3715 543 86 globlastp LYD633_H3 pigeonpea|11v1|SRR054580X352353_P1 2030 3716 543 83.8 globlastp LYD537_H2 radish|gb164|EV525517 2031 3717 550 98 globlastp LYD537_H5 thellungiella_parvulum|11v1|DN774047 2032 3718 550 93.1 globlastp LYD537_H8 arabidopsis|10v1|AT2G04039_P1 2033 3719 550 86.6 globlastp LYD548_H20 pigeonpea|11v1|SRR054580X121566_P1 2034 3720 553 80.7 globlastp LYD549_H6 b_rapa|11v1|BG544752_P1 2035 3721 554 99.1 globlastp LYD553_H9 b_rapa|11v1|BQ704191_P1 2036 556 556 100 globlastp LYD553_H1 b_rapa|gb162|EX029238 2037 3722 556 98.9 glotblastn LYD553_H2 radish|gb164|EW723928 2038 3723 556 97.8 globlastp LYD553_H4 thellungiella_parvulum|11v1|EPCRP010138 2039 3724 556 95.3 globlastp LYD553_H10 b_rapa|11v1|E6ANDIZ01AZWQB_P1 2040 3725 556 93.1 globlastp LYD553_H7 arabidopsis_lyrata|09v1|JGIAL010738_P1 2041 3726 556 92.3 globlastp LYD553_H8 arabidopsis|10v1|AT3G21420_P1 2042 3727 556 92.3 globlastp LYD554_H4 gossypium_raimondii|12v1|CO087573_P1 2043 3728 557 99.6 globlastp LYD554_H1 cacao|10v1|CU507663_P1 2044 3729 557 88.3 globlastp LYD554_H2 pteridium|11v1|SRR043594X132113 2045 3730 557 85.48 glotblastn LYD559_H1 trigonella|11v1|SRR066194X140992 2046 3731 559 97.4 globlastp LYD559_H29 chickpea|11v1|SRR133517.115958_P1 2047 3732 559 87.7 globlastp LYD559_H3 soybean|11v1|GLYMA06G42080 2048 3733 559 84.2 globlastp LYD559_H30 bean|12v1|CA896695_P1 2049 3734 559 82.8 globlastp LYD559_H7 cacao|10v1|CA794256_P1 2050 3735 559 82.5 globlastp LYD559_H19 kiwi|gb166|FG404235_T1 2051 3736 559 80.45 glotblastn LYD559_H31 kiwi|gb166|FG396783_P1 2052 3737 559 80.2 globlastp LYD559_H32 orange|11v1|Z82983_P1 2053 3738 559 80 globlastp LYD560_H164 chickpea|11v1|FL518933_P1 2054 3739 560 93.3 globlastp LYD560_H2 liquorice|gb171|FS249643_P1 2055 3740 560 93.3 globlastp LYD560_H4 soybean|11v1|GLYMA13G36730 2056 3741 560 87.5 globlastp LYD560_H5 trigonella|11v1|SRR066194X108453 2057 3742 560 87.4 globlastp LYD560_H165 chickpea|11v1|GR395239_P1 2058 3743 560 87.2 globlastp LYD560_H6 cowpea|12v1|FC458592_P1 2059 3744 560 87.2 globlastp LYD560_H6 cowpea|gb166|CK151399 2060 3744 560 87.2 globlastp LYD560_H7 soybean|11v1|GLYMA12G33760 2061 3745 560 87.2 globlastp LYD560_H166 bean|12v1|CA896625_P1 2062 3746 560 86.3 globlastp LYD560_H8 apple|11v1|CN491810_P1 2063 3747 560 86.2 globlastp LYD560_H9 bean|gb167|CA896625 2064 3748 560 86.13 glotblastn LYD560_H11 peanut|10v1|CD037768_P1 2065 3749 560 86.1 globlastp LYD560_H167 pigeonpea|11v1|SRR054580X101487_P1 2066 3750 560 86 globlastp LYD560_H10 humulus|11v1|CD527124_P1 2067 3751 560 86 globlastp LYD560_H168 beech|11v1|DT317640_P1 2068 3752 560 85.9 globlastp LYD560_H12 cannabis|12v1|GR220771_P1 2069 3753 560 85.9 globlastp LYD560_H13 humulus|11v1|SRR098683X104055_T1 2070 3754 560 85.67 glotblastn LYD560_H169 rose|12v1|BQ105339_P1 2071 3755 560 85.6 globlastp LYD560_H14 grape|11v1|GSVIVT01020689001_P1 2072 3756 560 85.6 globlastp LYD560_H170 cowpea|12v1|FC461925_P1 2073 3757 560 85.4 globlastp LYD560_H171 sesame|12v1|JK065449_P1 2074 3758 560 85.4 globlastp LYD560_H16 soybean|11v1|GLYMA12G14420 2075 3759 560 85.4 globlastp LYD560_H17 prunus|10v1|BU039550 2076 3760 560 85.4 globlastp LYD560_H172 bean|12v1|CB539455_P1 2077 3761 560 85.3 globlastp LYD560_H18 platanus|11v1|AM260502_P1 2078 3762 560 85.3 globlastp LYD560_H19 triphysaria|10v1|BE574775 2079 3763 560 85.2 globlastp LYD560_H20 catharanthus|11v1|HM006896_P1 2080 3764 560 85.1 globlastp LYD560_H22 eucalyptus|11v2|CD669407_P1 2081 3765 560 85 globlastp LYD560_H21 amsonia|11v1|SRR098688X10135_P1 2082 3766 560 84.9 globlastp LYD560_H25 flaveria|11v1|SRR149229.116025_T1 2083 3767 560 84.66 glotblastn LYD560_H23 cichorium|gb171|DT211113_P1 2084 3768 560 84.6 globlastp LYD560_H24 poplar|10v1|BI068438_P1 2085 3769 560 84.6 globlastp LYD560_H26 watermelon|11v1|AI563215 2086 3770 560 84.4 globlastp LYD560_H27 triphysaria|10v1|BM356564 2087 3771 560 84.4 globlastp LYD560_H173 b_juncea|12v1|E6ANDIZ01A2814_P1 2088 3772 560 84.3 globlastp LYD560_H30 platanus|11v1|SRR096786X109671_P1 2089 3773 560 84.3 globlastp LYD560_H174 sunflower|12v1|DY904533_P1 2090 3774 560 84.2 globlastp LYD560_H28 euphorbia|11v1|BI946379_P1 2091 3775 560 84.2 globlastp LYD560_H32 sunflower|10v1|DY905884 2092 3774 560 84.2 globlastp LYD560_H146 lettuce|12v1|DW056546_P1 2093 3776 560 84.2 globlastp LYD560_H31 monkeyflower|10v1|DV206354_P1 2094 3777 560 84.1 globlastp LYD560_H33 oak|10v1|CN725669_P1 2095 3778 560 84.1 globlastp LYD560_H35 melon|10v1|DV632098_P1 2096 3779 560 84 globlastp LYD560_H36 sunflower|10v1|DY904533 2097 3780 560 84 globlastp LYD560_H39 radish|gb164|EV525375 2098 3781 560 83.9 globlastp LYD560_H37 chestnut|gb170|SRR006295S0002507_P1 2099 3782 560 83.8 globlastp LYD560_H40 arnica|11v1|SRR099034X101317_P1 2100 3783 560 83.8 globlastp LYD560_H41 flaveria|11v1|SRR149229.17385_P1 2101 3784 560 83.8 globlastp LYD560_H42 tabernaemontana|11v1|SRR098689X103361 2102 3785 560 83.8 globlastp LYD560_H44 aquilegia|10v2|DR912607_P1 2103 3786 560 83.7 globlastp LYD560_H45 vinca|11v1|SRR098690X101887 2104 3787 560 83.6 globlastp LYD560_H46 canola|11v1|CN831246_P1 2105 3788 560 83.6 globlastp LYD560_H49 poplar|10v1|CA923778_P1 2106 3789 560 83.6 globlastp LYD560_H47 chelidonium|11v1|SRR084752X101401_P1 2107 3790 560 83.5 globlastp LYD560_H50 potato|10v1|BF153344_P1 2108 3791 560 83.5 globlastp LYD560_H51 cleome_gynandra|10v1|SRR015532S0001111_T1 2109 3792 560 83.5 glotblastn LYD560_H52 ambrosia|11v1|SRR346935.128656_T1 2110 3793 560 83.48 glotblastn LYD560_H53 ambrosia|11v1|SRR346943.17478_T1 2111 3794 560 83.48 glotblastn LYD560_H55 flaveria|11v1|SRR149232.78867_T1 2112 3795 560 83.45 glotblastn LYD560_H175 gossypium_raimondii|12v1|AI728816_P1 2113 3796 560 83.4 globlastp LYD560_H54 castorbean|11v1|EG661185_P1 2114 3797 560 83.4 globlastp LYD560_H56 arabidopsis|10v1|AT3G58610_P1 2115 3798 560 83.4 globlastp LYD560_H57 canola|11v1|CN829948_P1 2116 3799 560 83.4 globlastp LYD560_H59 cucumber|09v1|AI563215_P1 2117 3800 560 83.4 globlastp LYD560_H60 plantago|11v1|SRR066373X112712 2118 3801 560 83.4 globlastp LYD560_H61 potato|10v1|BF153566_P1 2119 3802 560 83.4 globlastp LYD560_H62 switchgrass|gb167|FE598038 2120 3803 560 83.4 globlastp LYD560_H66 foxtail_millet|11v3|PHY7SI021528M_P1 2121 3804 560 83.3 globlastp LYD560_H67 switchgrass|gb167|DN146770 2122 3805 560 83.3 globlastp LYD560_H68 flaveria|11v1|SRR149232.196243_T1 2123 3806 560 83.22 glotblastn LYD560_H176 b_rapa|11v1|BG732247_P1 2124 3807 560 83.2 globlastp LYD560_H63 cacao|10v1|CA796626_P1 2125 3808 560 83.2 globlastp LYD560_H64 canola|11v1|CN726713_P1 2126 3809 560 83.2 globlastp LYD560_H65 flaveria|11v1|SRR149229.101043_P1 2127 3810 560 83.2 globlastp LYD560_H69 b_rapa|gb162|CA992458 2128 3807 560 83.2 globlastp LYD560_H72 tragopogon|10v1|SRR020205S0020857 2129 3811 560 83.2 globlastp LYD560_H177 cotton|11v1|AI728816_P1 2130 3812 560 83.1 globlastp LYD560_H178 cotton|11v1|BE054370_P1 2131 3813 560 83.1 globlastp LYD560_H70 canola|11v1|DY006367_P1 2132 3814 560 83.1 globlastp LYD560_H73 canola|11v1|CX278693_T1 2133 3815 560 83.1 glotblastn LYD560_H74 cotton|10v2|SRR032367S0201653 2134 3812 560 83.1 globlastp LYD560_H75 flaveria|11v1|SRR149229.154246_P1 2135 3816 560 83.1 globlastp LYD560_H76 b_rapa|gb162|L33635 2136 3817 560 83.05 glotblastn LYD560_H77 switchgrass|gb167|DN140714 2137 3818 560 83.05 glotblastn LYD560_H179 sunflower|12v1|CD852201_P1 2138 3819 560 83 globlastp LYD560_H180 sunflower|12v1|CD858388_P1 2139 3820 560 83 globlastp LYD560_H78 arabidopsis_lyrata|09v1|JGIAL019161_P1 2140 3821 560 83 globlastp LYD560_H79 oil_palm|gb166|CN599790 2141 3822 560 83 globlastp LYD560_H80 sunflower|10v1|CD852201 2142 3823 560 83 globlastp LYD560_H81 tabernaemontana|11v1|SRR098689X102834 2143 3824 560 82.91 glotblastn LYD560_H82 tabernaemontana|11v1|SRR098689X103761 2144 3825 560 82.91 glotblastn LYD560_H181 b_rapa|11v1|L33635_P1 2145 3826 560 82.9 globlastp LYD560_H83 aristolochia|10v1|FD748169_P1 2146 3827 560 82.9 globlastp LYD560_H84 euphorbia|11v1|SRR098678X100620_P1 2147 3828 560 82.8 globlastp LYD560_H85 maize|10v1|AI391790_P1 2148 3829 560 82.8 globlastp LYD560_H86 wheat|10v2|CA605463 2149 3829 560 82.8 globlastp LYD560_H88 aquilegia|10v2|DR937512_P1 2150 3830 560 82.7 globlastp LYD560_H89 cirsium|11v1|SRR346952.104841_P1 2151 3831 560 82.7 globlastp LYD560_H90 fescue|gb161|DT685772_P1 2152 3832 560 82.7 globlastp LYD560_H91 peanut|10v1|EL966584_P1 2153 3833 560 82.7 globlastp LYD560_H97 vinca|11v1|SRR098690X104754 2154 3834 560 82.7 globlastp LYD560_H87 arnica|11v1|SRR099034X101454XX1_T1 2155 3835 560 82.69 glotblastn LYD560_H182 oil_palm|11v1|SRR190698.12262_T1 2156 3836 560 82.68 glotblastn LYD560_H183 b_rapa|11v1|BQ791335_P1 2157 3837 560 82.6 globlastp LYD560_H184 sorghum|12v1|SB03G029720_P1 2158 3838 560 82.6 globlastp LYD560_H92 pepper|gb171|BM063882 2159 3839 560 82.6 globlastp LYD560_H93 rice|11v1|BE228654_P1 2160 3840 560 82.6 globlastp LYD560_H93 rice|gb170|OS01G46380 2161 3840 560 82.6 globlastp LYD560_H95 sorghum|11v1|SB03G029720 2162 3838 560 82.6 globlastp LYD560_H96 thellungiella_parvulum|11v1|BM985551 2163 3841 560 82.6 globlastp LYD560_H185 oil_palm|11v1|SRR190698.100020_T1 2164 3842 560 82.5 glotblastn LYD560_H186 rye|12v1|DRR001012.115524_P1 2165 3843 560 82.5 globlastp LYD560_H98 canola|11v1|SRR023610.26048_P1 2166 3844 560 82.5 globlastp LYD560_H102 brachypodium|09v1|DV469933 2167 3845 560 82.5 globlastp LYD560_H187 poppy|11v1|SRR030259.10325_P1 2168 3846 560 82.4 globlastp LYD560_H101 b_rapa|gb162|BQ791335 2169 3847 560 82.4 globlastp LYD560_H103 barley|10v2|BE413220 2170 3848 560 82.4 globlastp LYD560_H188 eschscholzia|11v1|CD478497_P1 2171 3849 560 82.3 globlastp LYD560_H189 onion|12v1|BI095623_P1 2172 3850 560 82.3 globlastp LYD560_H190 rye|12v1|DRR001012.11842_P1 2173 3851 560 82.3 globlastp LYD560_H105 sugarcane|10v1|CA069523 2174 3852 560 82.3 globlastp LYD560_H104 flaveria|11v1|SRR149241.124510_T1 2175 3853 560 82.29 glotblastn LYD560_H191 oil_palm|11v1|CN600787_P1 2176 3854 560 82.2 globlastp LYD560_H108 thellungiella_halophilum|11v1|BM985551 2177 3855 560 82.2 globlastp LYD560_H109 tomato|11v1|BG124037 2178 3856 560 82.2 globlastp LYD560_H110 wheat|10v2|BE399048 2179 3857 560 82.2 globlastp LYD560_H110 wheat|12v3|BE399048_P1 2180 3857 560 82.2 globlastp LYD560_H111 foxtail_millet|11v3|EC612034_P1 2181 3858 560 82.1 globlastp LYD560_H112 leymus|gb166|EG374815_P1 2182 3859 560 82.1 globlastp LYD560_H113 wheat|10v2|BE413925 2183 3860 560 82.1 globlastp LYD560_H113 wheat|12v3|BE413925_P1 2184 3860 560 82.1 globlastp LYD560_H192 poppy|11v1|SRR030259.155979_T1 2185 3861 560 82.03 glotblastn LYD560_H193 banana|12v1|FF557878_P1 2186 3862 560 82 globlastp LYD560_H114 cassava|09v1|DV446011_P1 2187 3863 560 82 globlastp LYD560_H115 artemisia|10v1|EY032298_P1 2188 3864 560 82 globlastp LYD560_H194 banana|12v1|FL659215_P1 2189 3865 560 81.9 globlastp LYD560_H195 plantago|11v2|SRR066373X112712_P1 2190 3866 560 81.9 globlastp LYD560_H196 poppy|11v1|SRR030259.101863_P1 2191 3867 560 81.8 globlastp LYD560_H197 sorghum|12v1|SB09G029170_P1 2192 3868 560 81.8 globlastp LYD560_H117 flaveria|11v1|SRR149229.264618_P1 2193 3869 560 81.8 globlastp LYD560_H118 solanum_phureja|09v1|SPHBG124037 2194 3870 560 81.8 globlastp LYD560_H119 sugarcane|10v1|CA069008 2195 3871 560 81.8 globlastp LYD560_H120 wheat|10v2|BE402709 2196 3872 560 81.8 globlastp LYD560_H120 wheat|12v3|BE402709_P1 2197 3872 560 81.8 globlastp LYD560_H153 sorghum|11v1|SB09G029170 2198 3868 560 81.8 globlastp LYD560_H116 ambrosia|11v1|SRR346935.124709_T1 2199 3873 560 81.79 glotblastn LYD560_H121 flaveria|11v1|SRR149232.69233_T1 2200 3874 560 81.76 glotblastn LYD560_H122 millet|10v1|EVO454PM006129_P1 2201 3875 560 81.7 globlastp LYD560_H198 hornbeam|12v1|SRR364455.102657_P1 2202 3876 560 81.6 globlastp LYD560_H124 onion|gb162|BI095623 2203 3877 560 81.57 glotblastn LYD560_H125 cassava|09v1|CK643930_T1 2204 3878 560 81.55 glotblastn LYD560_H199 oil_palm|11v1|EY407536_P1 2205 3879 560 81.5 globlastp LYD560_H126 castorbean|11v1|EE257398_P1 2206 3880 560 81.5 globlastp LYD560_H127 cirsium|11v1|SRR346952.101419_P1 2207 3881 560 81.5 globlastp LYD560_H128 oat|11v1|GO589350_P1 2208 3882 560 81.5 globlastp LYD560_H200 brachypodium|12v1|BRADI2G15790_T1 2209 — 560 81.48 glotblastn LYD560_H130 flaveria|11v1|SRR149229.44395_P1 2210 3883 560 81.4 globlastp LYD560_H129 artemisia|10v1|EY057322_P1 2211 3884 560 81.3 globlastp LYD560_H201 oil_palm|11v1|CN599858_P1 2212 3885 560 81.2 globlastp LYD560_H202 gossypium_raimondii|12v1|DW233183_P1 2213 3886 560 81.1 globlastp LYD560_H203 oil_palm|11v1|EL683104_T1 2214 3887 560 81.07 glotblastn LYD560_H204 cotton|11v1|CO494385_T1 2215 3888 560 81.03 glotblastn LYD560_H205 amborella|12v3|CK756678_P1 2216 3889 560 81 globlastp LYD560_H132 potato|10v1|BF153113_P1 2217 3890 560 81 globlastp LYD560_H133 solanum_phureja|09v1|SPHAA824938 2218 3890 560 81 globlastp LYD560_H206 banana|12v1|ES435770_P1 2219 3891 560 80.9 globlastp LYD560_H134 valeriana|11v1|SRR099039X100132 2220 3892 560 80.9 globlastp LYD560_H135 cacao|10v1|CA794506_T1 2221 3893 560 80.88 glotblastn LYD560_H207 brachypodium|12v1|BRADI2G45330_P1 2222 3894 560 80.8 globlastp LYD560_H137 brachypodium|09v1|DV472499 2223 3894 560 80.8 globlastp LYD560_H138 flaveria|11v1|SRR149229.115395_P1 2224 3895 560 80.8 globlastp LYD560_H140 silene|11v1|SRR096785X101730 2225 3896 560 80.8 globlastp LYD560_H136 tomato|11v1|AA824938 2226 3897 560 80.78 glotblastn LYD560_H141 ambrosia|11v1|SRR346935.63652_T1 2227 3898 560 80.76 glotblastn LYD560_H139 flaveria|11v1|SRR149229.1150942_P1 2228 3899 560 80.7 globlastp LYD560_H142 cotton|10v2|BF268414 2229 3900 560 80.7 globlastp LYD560_H208 beet|12v1|BE590351_T1 2230 3901 560 80.61 glotblastn LYD560_H209 cotton|11v1|CO107572_P1 2231 3902 560 80.6 globlastp LYD560_H143 ambrosia|11v1|SRR346935.109161_P1 2232 3903 560 80.6 globlastp LYD560_H144 ambrosia|11v1|SRR346935.395723XX2_P1 2233 3904 560 80.6 globlastp LYD560_H145 flaveria|11v1|SRR149232.112827_P1 2234 3905 560 80.6 globlastp LYD560_H146 lettuce|10v1|DW056546 2235 3906 560 80.6 globlastp LYD560_H147 millet|10v1|EVO454PM014502_T1 2236 3907 560 80.52 glotblastn LYD560_H148 canola|11v1|CN725975_P1 2237 3908 560 80.5 globlastp LYD560_H151 chelidonium|11v1|SRR084752X100065_P1 2238 3909 560 80.4 globlastp LYD560_H152 momordica|10v1|SRR071315S0002438_P1 2239 3910 560 80.4 globlastp LYD560_H150 fagopyrum|11v1|SRR063689X104708_T1 2240 3911 560 80.38 glotblastn LYD560_H154 flaveria|11v1|SRR149241.109217_T1 2241 3912 560 80.3 glotblastn LYD560_H210 b_juncea|12v1|E6ANDIZ01A9Y9Z_P1 2242 3913 560 80.2 globlastp LYD560_H211 nasturtium|11v1|GH167255_T1 2243 3914 560 80.2 glotblastn LYD560_H155 amorphophallus|11v2|SRR089351X10005_P1 2244 3915 560 80.2 globlastp LYD560_H156 fagopyrum|11v1|GO496319_T1 2245 3916 560 80.17 glotblastn LYD560_H157 pseudoroegneria|gb167|FF349256 2246 3917 560 80.17 glotblastn LYD560_H212 grape|11v1|GSVIVT01021204001_T1 2247 3918 560 80.03 glotblastn LYD560_H213 humulus|11v1|SRR098683X109313_T1 2248 3919 560 80.03 glotblastn LYD560_H214 flaveria|11v1|SRR149229.139497_P1 2249 3920 560 80 globlastp LYD571_H1 trigonella|11v1|SRR066194X103623 2250 3921 563 97.04 glotblastn LYD571_H8 chickpea|11v1|GR915346_P1 2251 3922 563 94.4 globlastp LYD571_H9 pigeonpea|11v1|SRR054580X102540_P1 2252 3923 563 88.5 globlastp LYD571_H2 lotus|09v1|AW720127_P1 2253 3924 563 87.2 globlastp LYD571_H3 cowpea|12v1|FF390005_P1 2254 3925 563 86.8 globlastp LYD571_H3 cowpea|gb166|FF390005 2255 3925 563 86.8 globlastp LYD571_H4 soybean|11v1|GLYMA09G08190 2256 3926 563 86.33 glotblastn LYD571_H10 bean|12v1|SRR001334.141366_P1 2257 3927 563 86.1 globlastp LYD571_H5 citrus|gb166|CB250284 2258 3928 563 81 globlastp LYD571_H6 clementine|11v1|CB250284_P1 2259 3928 563 81 globlastp LYD571_H7 orange|11v1|CB250284_P1 2260 3928 563 81 globlastp LYD572_H2 clover|gb162|BB915599_T1 2261 3929 564 80.35 glotblastn LYD575_H1 trigonella|11v1|SRR066194X189015 2262 3930 565 81.2 globlastp LYD575_H2 lotus|09v1|AV416874_P1 2263 3931 565 80.1 globlastp LYD577_H19 chickpea|11v1|SRR133517.111644_P1 2264 3932 566 92.6 globlastp LYD577_H20 pigeonpea|11v1|SRR054580X103980_P1 2265 3933 566 89.6 globlastp LYD577_H1 soybean|11v1|GLYMA04G39980 2266 3934 566 89.3 globlastp LYD577_H2 soybean|11v1|GLYMA06G14870 2267 3935 566 88.7 globlastp LYD577_H21 bean|12v1|CA898729_P1 2268 3936 566 87.9 globlastp LYD577_H3 oak|10v1|FP043216_P1 2269 3937 566 85.6 globlastp LYD577_H4 grape|11v1|GSVIVT01022300001_P1 2270 3938 566 83.5 globlastp LYD577_H6 prunus|10v1|CN862404 2271 3939 566 83.2 globlastp LYD577_H5 apple|11v1|CN911043_P1 2272 3940 566 83.1 globlastp LYD577_H7 eucalyptus|11v2|CD668107_P1 2273 3941 566 82.5 globlastp LYD577_H8 castorbean|11v1|XM_002521692_P1 2274 3942 566 82.4 globlastp LAB627_H19 beet|12v1|BQ584887_T1 2275 3943 566 82.12 glotblastn LYD577_H9 watermelon|11v1|AM720533 2276 3944 566 82.1 globlastp LYD577_H10 cassava|09v1|CK645412_P1 2277 3945 566 82 globlastp LYD577_H11 aquilegia|10v2|DR932473_P1 2278 3946 566 81.6 globlastp LYD577_H13 clementine|11v1|CK701542_T1 2279 3947 566 81.56 glotblastn LYD577_H12 cucumber|09v1|DV737259_P1 2280 3948 566 81.5 globlastp LYD577_H14 valeriana|11v1|SRR099039X110137 2281 3949 566 81.48 glotblastn LAB627_H26 sunflower|12v1|DY906340_P1 2282 3950 566 81.2 globlastp LYD577_H15 sunflower|10v1|DY906340 2283 3951 566 81 globlastp LYD577_H16 thellungiella_halophilum|11v1|BY808300 2284 3952 566 80.7 globlastp LAB627_H11 oil_palm|11v1|EY396859_P1 2285 3953 566 80.4 globlastp LYD577_H17 arabidopsis_lyrata|09v1|JGIAL012212_P1 2286 3954 566 80.4 globlastp LYD577_H22 b_rapa|11v1|DY009615_P1 2287 3955 566 80.3 globlastp LYD577_H18 poplar|10v1|BI129795_P1 2288 3956 566 80.3 globlastp LYD577_H23 monkeyflower|10v1|GR046028_P1 2289 3957 566 80.2 globlastp LYD577_H24 canola|11v1|ES905120_T1 2290 3958 566 80.13 glotblastn LYD578_H1 trigonella|11v1|SRR066194X120334 2291 3959 567 98.6 globlastp LYD578_H14 aquilegia|10v2|DR913123_P1 2292 3960 567 88.6 globlastp LYD578_H175 cotton|11v1|AI055621_P1 2293 3961 567 88.3 globlastp LYD578_H22 cotton|10v2|AI055621 2294 3961 567 88.3 globlastp LYD578_H176 gossypium_raimondii|12v11AI055621_P1 2295 3962 567 88.1 globlastp LYD578_H177 cotton|11v1|AI727988_P1 2296 3963 567 87.9 globlastp LYD578_H20 cassava|09v1|DV444573_P1 2297 3964 567 87.9 globlastp LYD578_H25 cotton|10v2|CO119212 2298 3963 567 87.9 globlastp LYD578_H24 chelidonium|11v1|SRR084752X102130_T1 2299 3965 567 87.69 glotblastn LYD578_H178 cotton|11v1|AI055263_P1 2300 3966 567 87.4 globlastp LYD578_H179 gossypium_raimondii|12v1|AI055263_P1 2301 3967 567 87.2 globlastp LYD578_H27 cassava|09v1|DV449138_P1 2302 3968 567 87.2 globlastp LYD578_H28 cotton|10v2|BG444918 2303 3969 567 87.2 globlastp LYD578_H35 soybean|11v1|GLYMA08G09740 2304 3970 567 86.7 globlastp LYD578_H33 citrus|gb166|CB250290 2305 3971 567 86.6 globlastp LYD578_H34 clementine|11v1|CD574218_P1 2306 3972 567 86.6 globlastp LYD578_H38 soybean|11v1|GLYMA05G26750 2307 3973 567 86.5 globlastp LYD578_H41 clementine|11v1|CB250290_P1 2308 3974 567 86.5 globlastp LYD578_H67 trigonella|11v1|SRR066194X119293 2309 3975 567 85.8 globlastp LYD578_H180 pigeonpea|11v1|SRR054580X105689_P1 2310 3976 567 85.7 globlastp LYD578_H53 canola|11v1|EG021317_P1 2311 3977 567 85.7 globlastp LYD578_H57 monkeyflower|10v1|DV207594_P1 2312 3978 567 85.7 globlastp LYD578_H61 monkeyflower|10v1|DV208027_P1 2313 3979 567 85.5 globlastp LYD578_H70 castorbean|11v1|T23277_P1 2314 3980 567 85.5 globlastp LYD578_H62 orobanche|10v1|SRR023189S0000345_P1 2315 3981 567 85.2 globlastp LYD578_H64 euonymus|11v1|SRR070038X10094_P1 2316 3982 567 85.2 globlastp LYD578_H81 oak|10v1|FP030675_P1 2317 3983 567 85.2 globlastp LYD578_H79 eucalyptus|11v2|CT987127_P1 2318 3984 567 85.1 globlastp LYD578_H89 eucalyptus|11v2|CT984993_P1 2319 3985 567 85.1 globlastp LYD578_H71 valeriana|11v1|SRR099039X102744 2320 3986 567 85 globlastp LYD578_H72 amsonia|11v1|SRR098688X103450_P1 2321 3987 567 84.9 globlastp LYD578_H73 zostera|10v1|AM767776 2322 3988 567 84.8 globlastp LYD578_H181 gossypium_raimondii|12v1|AI054718_P1 2323 3989 567 84.5 globlastp LYD578_H83 euonymus|11v1|SRR070038X166372_T1 2324 3990 567 84.49 glotblastn LYD578_H182 oil_palm|11v1|EL695363_P1 2325 3991 567 84.4 globlastp LYD578_H183 nasturtium|11v1|SRR032558.101620_T1 2326 3992 567 84.15 glotblastn LYD578_H184 cotton|11v1|AI054718_P1 2327 3993 567 84.1 globlastp LYD578_H102 zostera|10v1|SRR057351S0005912 2328 3994 567 84.1 globlastp LYD578_H185 barley|12v1|BI946608_P1 2329 3995 567 84 globlastp LYD578_H186 rye|12v1|DRR001012.100198_P1 2330 3995 567 84 globlastp LYD578_H100 valeriana|11v1|SRR099039X113494 2331 3996 567 84 globlastp LYD578_H107 foxtail_millet|11v3|PHY7SI034806M_P1 2332 3997 567 84 globlastp LYD578_H108 barley|10v2|BI946608 2333 3995 567 84 globlastp LYD578_H109 wheat|10v2|BF291626 2334 3995 567 84 globlastp LYD578_H109 wheat|12v3|BE444286_P1 2335 3995 567 84 globlastp LYD578_H187 oil_palm|11v1|EL684249_P1 2336 3998 567 83.8 globlastp LYD578_H106 centaurea|gb166|EH713185_P1 2337 3999 567 83.8 globlastp LYD578_H188 lettuce|12v1|DW052763_P1 2338 4000 567 83.4 globlastp LYD578_H123 maize|10v1|AI987493_P1 2339 4001 567 82.7 globlastp LYD578_H189 amborella|12v3|FD429782_P1 2340 4002 567 82.6 globlastp LYD578_H120 aristolochia|10v1|SRR039083S0092867_P1 2341 4003 567 82.6 globlastp LYD578_H122 maize|10v1|AI601039_P1 2342 4004 567 82.5 globlastp LYD578_H125 sugarcane|10v1|BQ533651 2343 4005 567 82.5 globlastp LYD578_H190 sorghum|12v1|SB01G041650_P1 2344 4006 567 82.2 globlastp LYD578_H129 sorghum|11v1|SB01G041650 2345 4006 567 82.2 globlastp LYD578_H131 amorphophallus|11v2|SRR089351X155622_P1 2346 4007 567 81.7 globlastp LYD578_H134 ambrosia|11v1|SRR346935.11798_P1 2347 4008 567 81.7 globlastp LYD578_H191 amborella|12v3|CK743344_P1 2348 4009 567 81.4 globlastp LYD578_H136 thellungiella_halophilum|11v1|BY807071 2349 4010 567 81.1 globlastp LYD578_H141 pine|10v2|AI725121_P1 2350 4011 567 80.8 globlastp LYD578_H192 podocarpus|10v1|SRR065014S0003582_P1 2351 4012 567 80.1 globlastp LYD580_H1 clover|gb162|BB906292_P1 2352 4013 569 84.7 globlastp LYD580_H5 pigeonpea|11v1|SRR054580X133160_P1 2353 4014 569 80.1 globlastp LYD580_H2 pigeonpea|10v1|SRR054580S0027058 2354 4014 569 80.1 globlastp LYD583_H1 pigeonpea|11v1|SRR054581X208104_P1 2355 4015 570 80.4 globlastp LYD587_H1 chickpea|11v1|SRR133517.128822_P1 2356 4016 571 83.4 globlastp LYD588_H4 medicago|12v1|BE322031_P1 2357 4017 572 86.3 globlastp LYD588_H2 medicago|09v1|BE322031 2358 4018 572 84.7 globlastp LYD588_H5 medicago|12v1|BI272020_P1 2359 4019 572 80.9 globlastp LYD589_H1 soybean|11v1|GLYMA09G32750 2360 4020 573 83.7 globlastp LYD589_H2 bean|gb167|EC911408 2361 4021 573 83 globlastp LYD589_H4 pigeonpea|11v1|SRR054580X14159_P1 2362 4022 573 81.9 globlastp LYD589_H3 soybean|11v1|GLYMA16G21310 2363 4023 573 81.5 globlastp LYD589_H5 bean|12v1|EC911765_P1 2364 4024 573 81.2 globlastp LYD593_H1 trigonella|11v1|SRR066194X116418 2365 4025 576 96.3 globlastp LYD593_H5 chickpea|11v1|SRR133517.177493_P1 2366 4026 576 87.3 globlastp LYD593_H6 pigeonpea|11v1|SRR054580X103481_P1 2367 4027 576 85.8 globlastp LYD593_H2 soybean|11v1|GLYMA17G18500 2368 4028 576 85.2 globlastp LYD593_H7 bean|12v1|SRR001334.191933_T1 2369 4029 576 83.08 glotblastn LYD593_H3 peanut|10v1|GO330608_P1 2370 4030 576 82.2 globlastp LYD593_H4 cowpea|12v1|FG826472_P1 2371 4031 576 80.4 globlastp LYD593_H4 cowpea|gb166|FG826472 2372 4031 576 80.4 globlastp LYD605_H2 foxtail_millet|11v3|PHY7SI029408M_P1 2373 4032 578 86.2 globlastp LYD618_H3 bean|12v1|CB542893_P1 2374 4033 579 88.5 globlastp LYD618_H4 pigeonpea|11v1|SRR054580X169953_P1 2375 4034 579 88 globlastp LYD618_H1 cowpea|gb166|FF547523 2376 4035 579 87.12 glotblastn LYD618_H2 lotus|09v1|BW622754_P1 2377 4036 579 81.9 globlastp LYD632_H2 soybean|11v1|GLYMA19G38740 2378 4037 581 99.8 globlastp LYD637_H1 soybean|11v1|GLYMA0084S00210 2379 4038 582 96.2 globlastp LYD637_H4 pigeonpea|11v1|SRR054580X528923_P1 2380 4039 582 88.2 globlastp LYD637_H2 bean|gb167|CV530100 2381 4040 582 87.2 globlastp LYD637_H3 cowpea|12v1|FF546955_T1 2382 4041 582 84.66 glotblastn LYD637_H3 cowpea|gb166|FF546955 2383 4042 582 84.4 globlastp LYD637_H5 bean|12v1|SRR001334.120242_P1 2384 4043 582 81.1 globlastp LYD641_H1 soybean|11v1|GLYMA13G42740 2385 4044 583 95.2 globlastp LNU337_H33 pigeonpea|11v1|SRR054580X108382_P1 2386 4045 583 86.1 globlastp LYD641_H2 bean|12v1|CA902313_P1 2387 4046 583 85.5 globlastp LYD646_H1 soybean|11v1|GLYMA05G01650 2388 4047 584 90.6 globlastp LYD646_H2 pigeonpea|11v1|SRR054580X108829_P1 2389 4048 584 89.2 globlastp LYD646_H3 bean|12v1|SRR001334.187433_P1 2390 4049 584 88.1 globlastp LYD650_H3 tobacco|gb162|DV157531 2391 4050 585 87 globlastp LYD651_H1 solanum_phureja|09v1|SPHAI485479 2392 4051 586 94 globlastp LYD652_H1 solanum_phureja|09v1|SPHAI771255 2393 4052 587 98 globlastp LYD652_H2 eggplant|10v1|FS071038_P1 2394 4053 587 81.6 globlastp LYD652_H3 solanum_phureja|09v1|SPHBG130927_P1 2395 4054 587 80.1 globlastp LYD660_H2 solanum_phureja|09v1|SPHCRPSP010629 2396 4055 588 82 globlastp LYD660_H3 tomato|11v1|AW223948 2397 4056 588 81.65 glotblastn LYD665_H1 solanum_phureja|09v1|SPHBF097728 2398 4057 589 91.27 glotblastn LYD665_H2 solanum_phureja|09v1|SPHDN589048 2399 4058 589 85.28 glotblastn LYD665_H3 eggplant|10v1|FS008366_T1 2400 4059 589 82.48 glotblastn LYD666_H1 solanum_phureja|09v1|SPHBG123259 2401 4060 590 96 globlastp LYD666_H2 potato|10v1|BF153474_P1 2402 4061 590 95.8 globlastp LYD668_H1 solanum_phureja|09v1|SPHBG125390 2403 4062 592 97.4 globlastp LYD668_H2 ipomoea_nil|10v1|BJ560832_P1 2404 4063 592 86.5 globlastp LYD668_H3 amsonia|11v1|SRR098688X1058_P1 2405 4064 592 85.9 globlastp LYD668_H4 tabernaemontana|11v1|SRR098689X118673 2406 4065 592 85.1 globlastp LYD668_H5 phyla|11v2|SRR099035X102114_P1 2407 4066 592 84.7 globlastp LYD668_H11 blueberry|12v1|SRR353282X100511D1_P1 2408 4067 592 83 globlastp LYD668_H6 monkeyflower|10v1|GO963338_P1 2409 4068 592 83 globlastp LYD668_H7 triphysaria|10v1|EY170500 2410 4069 592 81.8 globlastp LYD668_H8 cacao|10v1|CU484627_P1 2411 4070 592 81 globlastp LYD668_H9 cirsium|11v1|SRR346952.105209_P1 2412 4071 592 80.4 globlastp LYD668_H10 phyla|11v2|SRR099035X106776_P1 2413 4072 592 80.4 globlastp LYD668_H12 valeriana|11v1|SRR099039X108687_P1 2414 4073 592 80.2 globlastp LYD668_H13 prunus|10v1|CN947564_T1 2415 4074 592 80.12 glotblastn LYD668_H14 sarracenia|11v1|SRR192669.14959_T1 2416 4075 592 80.12 glotblastn LYD671_H1 solanum_phureja|09v1|SPHBG129734 2417 4076 593 90.8 globlastp LYD671_H2 potato|10v1|BG350219_P1 2418 4077 593 90 globlastp LYD673_H1 solanum_phureja|09v1|SPHBG132287 2419 4078 594 94.7 globlastp LYD675_H1 potato|10v1|BQ515816_P1 2420 4079 595 92.5 globlastp LYD675_H2 solanum_phureja|09v1|SPHBG134175 2421 4080 595 91.9 globlastp LYD676_H1 solanum_phureja|09v1|SPHBG135207 2422 4081 596 92.5 globlastp LYD679_H1 solanum_phureja|09v1|SPHBG628242 2423 4082 597 92.4 globlastp LYD680_H1 solanum_phureja|09v1|SPHBG628985 2424 4083 598 97.1 globlastp LYD680_H3 ipomoea_nil|10v1|BJ560522_P1 2425 4084 598 80.7 globlastp LYD683_H1 potato|10v1|CK248027_P1 2426 4085 599 92.3 globlastp LYD683_H2 solanum_phureja|09v1|SPHBG643762 2427 4085 599 92.3 globlastp LYD688_H1 solanum_phureja|09v1|SPHBG593254 2428 4086 601 98.2 globlastp Table 54: Provided are polynucleotides (P.N.) and polypeptides (P.P.) which are homologous to the identified polynucleotides or polypeptides of Table 53. Hom. = homologue; Algor. = Algorithm;

Example 14

Gene Cloning and Generation of Binary Vectors for Plant Expression

To validate their role in improving plant yield, oil content, seed yield, biomass, growth rate, fiber yield, fiber quality, ABST, NUE and/or vigor, selected genes were over-expressed in plants, as follows.

Cloning Strategy

Selected genes from those listed in Examples 1-13 hereinabove were cloned into binary vectors for the generation of transgenic plants. For cloning, the full-length open reading frame (ORF) was first identified. In case of ORF-EST clusters and in some cases already published mRNA sequences were analyzed to identify the entire open reading frame by comparing the results of several translation algorithms to known proteins from other plant species. To clone the full-length cDNAs, reverse transcription (RT) followed by polymerase chain reaction (PCR; RT-PCR) was performed on total RNA extracted from leaves, flowers, siliques or other plant tissues, growing under normal and different treated conditions. Total RNA was extracted as described in “GENERAL EXPERIMENTAL AND BIOINFORMATICS METHODS” above. Production of cDNA and PCR amplification was performed using standard protocols described elsewhere (Sambrook J., E. F. Fritsch, and T. Maniatis. 1989. Molecular Cloning. A Laboratory Manual., 2nd Ed. Cold Spring Harbor Laboratory Press, New York), which are well known to those skilled in the art. PCR products were purified using PCR purification kit (Qiagen). In case where the entire coding sequence was not found, RACE kit from Invitrogen (RACE=Rapid Amplification of cDNA Ends) was used to access the full cDNA transcript of the gene from the RNA samples described above. RACE products were cloned into high copy vector followed by sequencing or directly sequenced.

The information from the RACE procedure was used for cloning of the full length ORF of the corresponding genes.

In case genomic DNA was cloned, the genes are amplified by direct PCR on genomic DNA extracted from leaf tissue using the DNAeasy kit (Qiagen Cat. No. 69104).

Usually, 2 sets of primers were synthesized for the amplification of each gene from a cDNA or a genomic sequence; an external set of primers and an internal set (nested PCR primers). When needed (e.g., when the first PCR reaction does not result in a satisfactory product for sequencing), an additional primer (or two) of the nested PCR primers is used.

To facilitate cloning of the cDNAs/genomic sequences, an 8-12 bp extension was added to the 5′ of each primer. The primer extension includes an endonuclease restriction site. The restriction sites were selected using two parameters: (a). The site does not exist in the cDNA sequence; and (b). The restriction sites in the forward and reverse primers were designed such that the digested cDNA was inserted in the sense formation into the binary vector utilized for transformation.

PCR products were digested with the restriction endonucleases (New England BioLabs Inc) according to the sites designed in the primers. Each digested PCR product was inserted into a high copy vector pUC19 (New England BioLabs Inc], or into plasmids originating from this vector or into CloneJet (Thermo Scientific). In some cases the undigested PCR product was inserted into pCR-Blunt II-TOPO (Invitrogen) or directly into the binary vector.

Sequencing of the amplified PCR products was performed, using ABI 377 sequencer (Amersham Biosciences Inc). In some cases, after confirming the sequences of the cloned genes, the cloned cDNA was introduced into a modified pGI binary vector containing the At6669 promoter via digestion with appropriate restriction endonucleases. The digested products and the linearized plasmid vector were ligated using T4 DNA ligase enzyme (Roche, Switzerland).

High copy plasmids containing the cloned genes were digested with the restriction endonucleases (New England BioLabs Inc) according to the sites designed in the primers and cloned into binary vectors.

Several DNA sequences of the selected genes were synthesized by a commercial supplier GeneArt (Life Technologies) [Hypertext Transfer Protocol://World Wide Web (dot) geneart (dot) com]. Synthetic DNA was designed in silico. Suitable restriction enzymes sites were added to the cloned sequences at the 5′ end and at the 3′ end to enable later cloning into the pQFNc or other required binary vector downstream of the At6669 promoter (SEQ ID NO: 4111).

Binary vectors used for cloning: The plasmid pPI was constructed by inserting a synthetic poly-(A) signal sequence, originating from pGL3 basic plasmid vector (Promega, Acc No U47295; bp 4658-4811) into the HindIII restriction site of the binary vector pBI101.3 (Clontech, Acc. No. U12640). pGI (pBXYN) was similar to pPI, but the original gene in the backbone, the GUS gene, was replaced by the GUS-Intron gene followed by the NOS terminator (SEQ ID NO: 4122) (Vancanneyt. G, et al MGG 220, 245-50, 1990). pGI was used in the past to clone the polynucleotide sequences, initially under the control of 35S promoter [Odell, J T, et al. Nature 313, 810-812 (28 Feb. 1985); SEQ ID NO:4109].

The modified pGI vectors [pQXNc (FIG. 8); or pQFN (FIG. 2), pQFNc (FIG. 2) or pQYN_6669 (FIG. 1)] were modified versions of the pGI vector in which the cassette was inverted between the left and right borders so the gene and its corresponding promoter were close to the right border and the NPTII gene was close to the left border.

At6669, the Arabidopsis thaliana promoter sequence (SEQ ID NO: 4111) was inserted in the modified pGI binary vector, upstream to the cloned genes, followed by DNA ligation and binary plasmid extraction from positive E. coli colonies, as described above.

Colonies were analyzed by PCR using the primers covering the insert which are designed to span the introduced promoter and gene. Positive plasmids were identified, isolated and sequenced.

Selected genes cloned by the present inventors are provided in Table 55 below.

TABLE 55 Genes cloned in high copy number plasmids Polyn. Polyp. SEQ SEQ Gene Name High copy plasmid Organism Primers used SEQ ID NOs: ID NO: ID NO: LYD521 pUC19c_LYD521 Arabidopsis thaliana 4123, 4267, 4411, 4508 202 362 LYD522 pUC19c_LYD522 Arabidopsis thaliana 4124, 4268, 4412, 4509 203 363 LYD524 pUC19c_LYD524 Arabidopsis thaliana 4125, 4269, 4413, 4510 204 364 LYD525_GA pMA-RQ_LYD525_GA GENEART ® 205 365 LYD526 pUC19c_LYD526 Arabidopsis thaliana 4126, 4270, 4414, 4511 206 366 LYD527 pUC19c_LYD527 Arabidopsis thaliana 4127, 4271, 4127, 4271 207 547 LYD528 pUC19c_LYD528 Arabidopsis thaliana 4128, 4272, 4415, 4512 208 368 LYD529 TopoB_LYD529 Arabidopsis thaliana 4129, 4273, 4416, 4513 209 369 LYD530 TopoB_LYD530 Arabidopsis thaliana 4130, 4274, 4417, 4514 210 548 LYD531 pUC19c_LYD531 Arabidopsis thaliana 4131, 4275, 4418, 4515 211 371 LYD532 pUC19c_LYD532 Arabidopsis thaliana 4132, 4276, 4132, 4276 212 549 LYD533 pUC19c_LYD533 Arabidopsis thaliana 4133, 4277, 4419, 4516 213 373 LYD534 pQFNc_LYD534 Arabidopsis thaliana 4134, 4278, 4134, 4278 214 374 LYD535 pQFNc_LYD535 Arabidopsis thaliana 4135, 4279, 4420, 4517 215 375 LYD536 pUC19c_LYD536 Arabidopsis thaliana 4136, 4280, 4136, 4280 216 376 LYD537 pUC19c_LYD537 Brassica juncea 4137, 4281, 4137, 4281 217 550 LYD538 pQFNc_LYD538 Brassica juncea 4138, 4282, 4138, 4518 218 378 LYD539_H11_GA pMA_LYD539_H11_GA GENEART ® 361 526 LYD540 pJET_LYD540 Brassica juncea 4139, 4283, 4421, 4519 219 551 LYD541_GA pMA_LYD541_GA GENEART ® 220 381 LYD542 pUC19c_LYD542 Brachypodium distachyon 4140, 4284, 4422, 4520 221 382 LYD543 pQFNc_LYD543 Brachypodium distachyon 4141, 4285, 4423, 4521 222 552 LYD545 pQFNc_LYD545 Brachypodium distachyon 4142, 4286, 4424, 4522 223 385 LYD546 TopoB_LYD546 Brachypodium distachyon 4143, 4287, 4143, 4287 224 386 LYD547 pQFNc_LYD547 CANOLA Brassica napus 4144, 4288, 4425, 4523 225 387 LYD548 pQFNc_LYD548 CANOLA Brassica napus 4145, 4289, 4426, 4524 226 553 LYD549 pQFNc_LYD549 CANOLA Brassica napus 4146, 4290, 4146, 4290 227 554 LYD550 pUC19c_LYD550 CANOLA Brassica napus 4147, 4291, 4427, 4525 228 555 LYD551 pQFNc_LYD551 CANOLA Brassica napus 4148, 4292, 4428, 4526 229 391 LYD552 pQFNc_LYD552 CANOLA Brassica napus 4149, 4293, 4149, 4293 230 392 LYD553 pUC19c_LYD553 CANOLA Brassica napus 4150, 4294, 4429, 4527 231 556 LYD554 pUC19c_LYD554 Gossypium barbadense 4151, 4295, 4430, 4528 232 557 LYD555 pJET_LYD555 Gossypium barbadense 4152, 4296 233 558 LYD556_GA pMA-T_LYD556_GA GENEART ® 234 396 LYD558_GA pMA_LYD558_GA GENEART ® 235 397 LYD559 pQFNc_LYD559 Medicago trancatula 4153, 4297, 4153, 4297 236 559 LYD560 pUC19c_LYD560 Medicago trancatula 4154, 4298, 4431, 4529 237 560 LYD561 pUC19c_LYD561 Medicago trancatula 4155, 4299, 4432, 4530 238 400 LYD562_GA pMA-RQ_LYD562_GA GENEART ® 239 401 LYD563 pUC19c_LYD563 Medicago trancatula 4156, 4300, 4433, 4531 240 402 LYD564 pUC19c_LYD564 Medicago trancatula 4157, 4301, 4157, 4301 241 403 LYD565_GA pMA_LYD565_GA GENEART ® 242 404 LYD566 pQFNc_LYD566 Medicago trancatula 4158, 4302, 4158, 4302 243 561 LYD567 pQFNc_LYD567 Medicago trancatula 4159, 4303, 4159, 4303 244 406 LYD568 pUC19c_LYD568 Medicago trancatula 4160, 4304, 4434, 4532 245 407 LYD570 pUC19c_LYD570 Medicago trancatula 4161, 4305, 4435, 4533 246 562 LYD571 pUC19c_LYD571 Medicago trancatula 4162, 4306, 4162, 4306 247 563 LYD572 pQFNc_LYD572 Medicago trancatula 4163, 4307, 4436, 4534 248 564 LYD573_GA pMA-T_LYD573_GA GENEART ® 249 411 LYD574_GA pMA-RQ_LYD574_GA GENEART ® 250 412 LYD575 TopoB_LYD575 Medicago trancatula 4164, 4308, 4437, 4535 251 565 LYD576_GA pMA-T_LYD576_GA GENEART ® 252 414 LYD577 pUC19c_LYD577 Medicago trancatula 4165, 4309, 4438, 4536 253 566 LYD578 pUC19c_LYD578 Medicago trancatula 4166, 4310, 4439, 4537 254 567 LYD579 pUC19c_LYD579 Medicago trancatula 4167, 4311, 4167, 4311 255 568 LYD580 pUC19c_LYD580 Medicago trancatula 4168, 4312, 4440, 4538 256 569 LYD581_GA pMA_LYD581_GA GENEART ® 257 419 LYD583 pUC19c_LYD583 Medicago trancatula 4169, 4313, 4441, 4539 258 570 LYD584 pUC19c_LYD584 Medicago trancatula 4170, 4314, 4170, 4314 259 421 LYD585_GA pMA-T_LYD585_GA GENEART ® 260 422 LYD586 pUC19c_LYD586 Medicago trancatula 4171, 4315, 4171, 4315 261 423 LYD587 pUC19c_LYD587 Medicago trancatula 4172, 4316, 4172, 4316 262 571 LYD588 pQFNc_LYD588 Medicago trancatula 4173, 4317, 4173, 4317 263 572 LYD589 pQFNc_LYD589 Medicago trancatula 4174, 4318, 4174, 4318 264 573 LYD591 pQFNc_LYD591 Medicago trancatula 4175, 4319, 4175, 4319 265 574 LYD592 TopoB_LYD592 Medicago trancatula 4176, 4320, 4176, 4320 266 575 LYD593 pUC19c_LYD593 Medicago trancatula 4177, 4321, 4442, 4540 267 576 LYD594 pQFNc_LYD594 Medicago trancatula 4178, 4322, 4178, 4322 268 577 LYD595 pUC19c_LYD595 Oryza sativa L. 4179, 4323, 4443, 4541 269 432 LYD596 pJET_LYD596 Oryza sativa L. 4180, 4324, 4444, 4542 270 433 LYD597 pQFNc_LYD597 Oryza sativa L. 4181, 4325, 4445, 4543 271 434 LYD598 pQFNc_LYD598 Oryza sativa L. 4182, 4326, 4446, 4544 272 435 LYD599 pQFNc_LYD599 Oryza sativa L. 4183, 4327, 4447, 4545 273 436 LYD600_GA pMA-RQ_LYD600_GA GENEART ® 274 437 LYD601 pUC19c_LYD601 Oryza sativa L. 4184, 4328, 4448, 4546 275 438 LYD602 pUC19c_LYD602 Oryza sativa L. 4185, 4329, 4449, 4547 276 439 LYD603 pUC19c_LYD603 Oryza sativa L. 4186, 4330, 4186, 4330 277 440 LYD604 pQFNc_LYD604 Sorghum bicolor 4187, 4331, 4187, 4331 278 441 LYD605 pUC19c_LYD605 Sorghum bicolor 4188, 4332, 4188, 4332 279 578 LYD606 pQFNc_LYD606 Sorghum bicolor 4189, 4333, 4189, 4333 280 443 LYD607 pUC19c_LYD607 Sorghum bicolor 4190, 4334, 4450, 4548 281 444 LYD608 pUC19c_LYD608 Sorghum bicolor 4191, 4335, 4451, 4549 282 445 LYD609 pUC19c_LYD609 Sorghum bicolor 4192, 4336, 4192, 4336 283 446 LYD610 TopoB_LYD610 Sorghum bicolor 4193, 4337, 4193, 4337 284 447 LYD611 pQFNc_LYD611 Glycine max 4194, 4338, 4194, 4550 285 448 LYD612 pQFNc_LYD612 Glycine max 4195, 4339, 4452, 4551 286 449 LYD613 pQFNc_LYD613 Glycine max 4196, 4340, 4453, 4552 287 450 LYD614_GA pMA-RQ_LYD614_GA GENEART ® 288 451 LYD615 pUC19c_LYD615 Glycine max 4197, 4341, 4454, 4553 289 452 LYD616 pUC19c_LYD616 Glycine max 4198, 4342, 4198, 4342 290 453 LYD617 pUC19c_LYD617 Glycine max 4199, 4343, 4455, 4554 291 454 LYD618 pUC19c_LYD618 Glycine max 4200, 4344, 4456, 4555 292 579 LYD619 pUC19c_LYD619 Glycine max 4201, 4345, 4457, 4556 293 580 LYD620 pUC19c_LYD620 Glycine max 4202, 4346, 4202, 4346 294 457 LYD621 pUC19c_LYD621 Glycine max 4203, 4347, 4458, 4557 295 458 LYD622 pUC19c_LYD622 Glycine max 4204, 4348, 4459, 4558 296 459 LYD623 pUC19c_LYD623 Glycine max 4205, 4349, 4205, 4349 297 460 LYD624 pQFNc_LYD624 Glycine max 4206, 4350, 4460, 4559 298 461 LYD625 pUC19c_LYD625 Glycine max 4207, 4351, 4461, 4560 299 462 LYD626 pUC19c_LYD626 Glycine max 4208, 4352, 4462, 4561 300 463 LYD627 pUC19c_LYD627 Glycine max 4209, 4353, 4463, 4562 301 464 LYD628 pQFNc_LYD628 Glycine max 4210, 4354, 4210, 4354 302 465 LYD629 pUC19c_LYD629 Glycine max 4211, 4355, 4464, 4563 303 466 LYD630 pUC19c_LYD630 Glycine max 4212, 4356, 4465, 4564 304 467 LYD631 pUC19c_LYD631 Glycine max 4213, 4357, 4213, 4357 305 468 LYD632 pUC19c_LYD632 Glycine max 4214, 4358, 4466, 4565 306 581 LYD633p pQFNc_LYD633p Glycine max 4215, 4359, 4215, 4359 307 470 LYD634 pQFNc_LYD634 Glycine max 4216, 4360, 4467, 4566 308 471 LYD635 pUC19c_LYD635 Glycine max 4217, 4361, 4468, 4567 309 472 LYD636 pUC19c_LYD636 Glycine max 4218, 4362, 4469, 4568 310 473 LYD637 pQFNc_LYD637 Glycine max 4219, 4363, 4219, 4363 311 582 LYD638 pQFNc_LYD638 Glycine max 4220, 4364, 4220, 4364 312 475 LYD639 pUC19c_LYD639 Glycine max 4221, 4365, 4470, 4569 313 476 LYD640 pUC19c_LYD640 Glycine max 4222, 4366, 4471, 4570 314 477 LYD641 pUC19c_LYD641 Glycine max 4223, 4367, 4472, 4571 315 583 LYD642 pQFNc_LYD642 Glycine max 4224, 4368, 4473, 4572 316 479 LYD643 pUC19c_LYD643 Glycine max 4225, 4369, 4474, 4573 317 480 LYD644 pUC19c_LYD644 Glycine max 4226, 4370, 4226, 4370 318 481 LYD645 pUC19c_LYD645 Glycine max 4227, 4371, 4475, 4574 319 482 LYD646 pUC19c_LYD646 Glycine max 4228, 4372, 4228, 4372 320 584 LYD647 pUC19c_LYD647 Glycine max 4229, 4373, 4476, 4575 321 484 LYD648 pQFNc_LYD648 Lycopersicum ND 4230, 4374, 4477, 4576 322 485 LYD650 pUC19c_LYD650 Lycopersicum ND 4231, 4375, 4478, 4577 323 585 LYD651 pQFNc_LYD651 Lycopersicum ND 4232, 4376, 4232, 4376 324 586 LYD652 pUC19c_LYD652 Lycopersicum ND 4233, 4377, 4479, 4578 325 587 LYD654_GA pMA-RQ_LYD654_GA GeneArt ® 326 490 LYD655 pUC19c_LYD655 Lycopersicum ND 4234, 4378, 4480, 4579 327 491 LYD657 pUC19c_LYD657 Lycopersicum ND 4235, 4379, 4481, 4580 328 492 LYD658 pUC19c_LYD658 Lycopersicum ND 4236, 4380, 4482, 4581 329 493 LYD659_GA pMA_LYD659_GA GeneArt ® 330 494 LYD660 pUC19c_LYD660 Lycopersicum ND 4237, 4381, 4237, 4381 331 588 LYD661 pUC19c_LYD661 Lycopersicum ND 4238, 4382, 4483, 4582 332 496 LYD662 pUC19c_LYD662 Lycopersicum ND 4239, 4383, 4484, 4583 333 497 LYD663 pQFNc_LYD663 Lycopersicum ND 4240, 4384, 4485, 4584 334 498 LYD664 pUC19c_LYD664 Lycopersicum ND 4241, 4385, 4486, 4585 335 499 LYD665 pUC19c_LYD665 Lycopersicum ND 4242, 4386, 4487, 4586 336 589 LYD666 pUC19c_LYD666 Lycopersicum ND 4243, 4387, 4243, 4587 337 590 LYD667 pUC19c_LYD667 Lycopersicum ND 4244, 4388, 4488, 4588 338 591 LYD668 pUC19c_LYD668 Lycopersicum ND 4245, 4389, 4489, 4589 339 592 LYD669 pUC19c_LYD669 Lycopersicum ND 4246, 4390, 4490, 4590 340 504 LYD670 pQFNc_LYD670 Lycopersicum ND 4247, 4391, 4491, 4591 341 505 LYD671 pQFNc_LYD671 Lycopersicum ND 4248, 4392, 4248, 4392 342 593 LYD672 pUC19c_LYD672 Lycopersicum ND 4249, 4393, 4492, 4592 343 507 LYD673 pQFNc_LYD673 Lycopersicum ND 4250, 4394, 4493, 4593 344 594 LYD674 pQFNc_LYD674 Lycopersicum ND 4251, 4395, 4494, 4594 345 509 LYD675 pUC19c_LYD675 Lycopersicum ND 4252, 4396, 4495, 4595 346 595 LYD676 pQFNc_LYD676 Lycopersicum ND 4253, 4397, 4496, 4596 347 596 LYD677 pUC19c_LYD677 Lycopersicum ND 4254, 4398, 4497, 4597 348 512 LYD678 pUC19c_LYD678 Lycopersicum ND 4255, 4399, 4498, 4598 349 513 LYD679 pUC19c_LYD679 Lycopersicum ND 4256, 4400, 4499, 4599 350 597 LYD680 pUC19c_LYD680 Lycopersicum ND 4257, 4401, 4257, 4600 351 598 LYD681 pQFNc_LYD681 Lycopersicum ND 4258, 4402, 4500, 4601 352 516 LYD682 pUC19c_LYD682 Lycopersicum ND 4259, 4403, 4501, 4602 353 517 LYD683 pUC19c_LYD683 Lycopersicum ND 4260, 4404, 4502, 4603 354 599 LYD684 pQFNc_LYD684 Lycopersicum ND 4261, 4405, 4503, 4604 355 519 LYD685 pQFNc_LYD685 Lycopersicum ND 4262, 4406, 4504, 4605 356 600 LYD686 pUC19c_LYD686 Lycopersicum ND 4263, 4407, 4505, 4606 357 521 LYD688 pQFNc_LYD688 Lycopersicum ND 4264, 4408, 4264, 4408 358 601 LYD689 pQFNc_LYD689 Lycopersicum ND 4265, 4409, 4506, 4607 359 524 LYD690 TopoB_LYD690 Lycopersicum ND 4266, 4410, 4507, 4608 360 525 Table 55. “Polyn.”—Polynucleotide; “Polyp.”—polypeptide. For cloning of each gene at least 2 primers were used: Forward (Fwd) or Reverse (Rev). In some cases, 4 primers were used: External forward (EF), External reverse (ER), nested forward (NF) or nested reverse (NR). The sequences of the primers used for cloning the genes are provided in the sequence listing. The genes were cloned from the same organism as identified in the list of genes provided in Table 62 above, except for the genes that were synthetically produced by GENEART (Life Technologies Corporation).

Example 15

Evaluation of Transgenic Arabidopsis for Seed Yield and Plant Growth Rate Under Normal Conditions in Greenhouse Assays (GH-SM Assays)

Assay 1: Seed yield plant biomass and plant growth rate under normal greenhouse conditions—This assay follows seed yield production, the biomass formation and the rosette area growth of plants grown in the greenhouse at non-limiting nitrogen growth conditions. Transgenic Arabidopsis seeds were sown in agar media supplemented with ½ MS medium and a selection agent (Kanamycin). The T₂ transgenic seedlings were then transplanted to 1.7 trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing 6 mM inorganic nitrogen in the form of KNO₃ with 1 mM KH₂PO₄, 1 mM MgSO₄, 2 mM CaCl₂ and microelements. All plants were grown in the greenhouse until mature seeds. Seeds were harvested, extracted and weight. The remaining plant biomass (the above ground tissue) was also harvested, and weighted immediately or following drying in oven at 50° C. for 24 hours.

Each construct was validated at its T₂ generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the At6669 promoter and the selectable marker was used as control.

The plants were analyzed for their overall size, growth rate, flowering, seed yield, 1,000-seed weight, dry matter and harvest index (HI— seed yield/dry matter). Transgenic plants performance was compared to control plants grown in parallel under the same conditions. Mock-transgenic plants expressing the uidA reporter gene (GUS-Intron) or with no gene at all, under the same promoter were used as control.

The experiment was planned in nested randomized plot distribution. For each gene of the invention three to five independent transformation events were analyzed from each construct.

Digital imaging—A laboratory image acquisition system, which consists of a digital reflex camera (Canon EOS 300D) attached with a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which includes 4 light units (4×150 Watts light bulb) was used for capturing images of plant samples.

The image capturing process was repeated every 2 days starting from day 1 after transplanting till day 15. Same camera, placed in a custom made iron mount, was used for capturing images of larger plants sawn in white tubs in an environmental controlled greenhouse. The tubs are square shape include 1.7 liter trays. During the capture process, the tubs were placed beneath the iron mount, while avoiding direct sun light and casting of shadows.

An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.39 [Java based image processing program which was developed at the U.S. National Institutes of Health and freely available on the internet at Hypertext Transfer Protocol://rsbweb (dot) nih (dot) gov/]. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Leaf analysis—Using the digital analysis leaves data was calculated, including leaf number, rosette area, rosette diameter, and leaf blade area.

Vegetative growth rate: the relative growth rate (RGR) of leaf number [Formula IX (described above)], rosette area [Formula VIII (described above)], plot coverage (Formula XIV, below) and harvest index [Formula IV (described above)] was calculated with the indicated formulas. Relative growth rate of plot coverage=Regression coefficient of plot coverage along time course.  Formula XIV

Seeds average weight—At the end of the experiment all seeds were collected. The seeds were scattered on a glass tray and a picture was taken. Using the digital analysis, the number of seeds in each sample was calculated.

Dry weight and seed yield—On about day 80 from sowing, the plants were harvested and left to dry at 30° C. in a drying chamber. The biomass and seed weight of each plot were measured and divided by the number of plants in each plot. Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 30° C. in a drying chamber; Seed yield per plant=total seed weight per plant (gr); 1000 seed weight (the weight of 1000 seeds) (gr.).

The harvest index (HI) was calculated using Formula IV as described above.

Oil percentage in seeds—At the end of the experiment all seeds from each plot were collected. Seeds from 3 plots were mixed grounded and then mounted onto the extraction chamber. 210 ml of n-Hexane (Cat No. 080951 Biolab Ltd.) were used as the solvent. The extraction was performed for 30 hours at medium heat 50° C. Once the extraction has ended the n-Hexane was evaporated using the evaporator at 35° C. and vacuum conditions. The process was repeated twice. The information gained from the Soxhlet extractor (Soxhlet, F. Die gewichtsanalytische Bestimmung des Milchfettes, Polytechnisches J. (Dingler's) 1879, 232, 461) was used to create a calibration curve for the Low Resonance NMR. The content of oil of all seed samples was determined using the Low Resonance NMR (MARAN Ultra—Oxford Instrument) and its MultiQuant software package

Silique length analysis—On day 50 from sowing, 30 siliques from different plants in each plot were sampled in block A. The chosen siliques were green-yellow in color and were collected from the bottom parts of a grown plant's stem. A digital photograph was taken to determine silique's length.

Statistical analyses—To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. Data was analyzed using Student's t-test and results are considered significant if the p value was less than 0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).

Tables 56-60 summarize the observed phenotypes of transgenic plants exogenously expressing the gene constructs using the seed maturation (GH-SM) assays under normal conditions. Transgenic plants expressing these genes exhibit higher biomass (Tables 56, 57, 59), yield (Tables 59 and 60), vigor (Table 58), growth rate (Table 58), as compared to control plants grown under identical growth conditions. The evaluation of each gene was performed by testing the performance of different number of events. Event with p-value <0.1 was considered statistically significant.

TABLE 56 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Flowering Inflorescence Dry Weight [mg] (days) Emergence (days) Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYD689 72710.2 — — — 39.7 0.25 −3 34.1 0.07 −3 LYD689 72711.2 1157.7 0.15 12 37.9 L −8 34.1 0.06 −3 LYD689 72713.1 — — — 40.3 0.22 −2 34.5 0.17 −2 LYD677 72223.1 — — — — — — 34.2 0.08 −3 LYD677 72223.6 — — — 39.3 0.10 −4 34.3 0.12 −3 LYD677 72227.1 — — — 39.5 0.13 −4 34.1 0.07 −3 LYD675 72644.3 — — — — — — 34.6 0.23 −2 LYD648 72834.2 1073.6 0.28 4 — — — — — — LYD641 72632.2 — — — — — — 34.1 0.07 −3 LYD641 72635.2 — — — — — — 34.2 0.09 −3 LYD636 72204.1 — — — 40.4 0.28 −2 34.1 0.06 −3 LYD625 72752.4 — — — 40.3 0.23 −2 34.5 0.17 −2 LYD625 72755.1 1166.7 0.05 13 — — — — — — LYD611 71991.1 — — — — — — 34.5 0.18 −2 LYD611 71992.6 — — — — — — 34.7 0.28 −2 LYD602 72613.3 — — — — — — 34.3 0.12 −3 LYD599 72270.5 — — — 39.3 0.05 −4 34.5 0.18 −2 CONT. — 1033.1 — — 41.0 — — 35.3 — — LYD667 72030.1 1106.2 0.02 19 — — — — — — LYD667 72035.2 — — — — — — 34.1 0.21 −5 LYD667 72035.6 — — — — — — 34.5 0.13 −4 LYD635 72626.1 1004.8 0.22 8 — — — — — — LYD635 72626.2 1100.0 0.02 18 — — — — — — LYD635 72630.2 1081.2 0.13 16 42.8 0.19 −2 35.2 0.29 −2 LYD635 72630.4 1083.8 0.04 16 42.0 0.13 −4 34.5 0.10 −4 LYD632 72771.1 1086.5 0.07 17 — — — — — — LYD632 72774.4 1129.4 0.02 21 — — — — — — LYD631 72542.3 — — — 41.4 0.13 −5 33.2 L −7 LYD627 72764.3 1070.4 0.21 15 — — — — — — LYD627 72765.1 1031.9 0.16 11 — — — — — — LYD627 72766.1 1190.6 0.08 28 — — — — — — LYD623 71970.2 1049.4 0.07 13 41.5 L −5 34.5 0.01 −4 LYD623 71970.4 1027.5 0.14 10 42.2 0.06 −3 34.3 0.26 −4 LYD623 71972.3 1057.5 0.09 14 — — — — — — LYD623 71974.1 1199.4 L 29 — — — — — — LYD621 72573.3 — — — 42.6 0.07 −2 33.9 0.02 −5 LYD621 72574.1 1111.9 0.27 19 — — — — — — LYD618 72622.2 1121.2 0.02 20 — — — — — — LYD618 72623.1 1026.5 0.25 10 — — — — — — LYD618 72624.4 1070.6 0.11 15 41.3 0.08 −5 34.3 0.14 −4 LYD612 71818.3 1065.5 0.05 14 42.8 0.18 −2 — — — LYD603 72536.2 1036.2 0.10 11 — — — — — — LYD603 72537.3 — — — 42.8 0.19 −2 35.2 0.16 −2 LYD603 72537.5 — — — 41.1 0.20 −5 — — — LYD603 72537.7 1131.9 0.03 22 — — — — — — LYD593 71953.4 1041.2 0.10 12 — — — — — — LYD585 72986.1 1158.8 0.16 24 43.0 0.25 −1 — — — LYD585 72986.2 1137.5 L 22 42.9 0.19 −1 — — — LYD585 72986.4 1116.2 0.02 20 — — — — — — LYD585 72988.1 1083.1 0.22 16 — — — — — — LYD585 72988.3 1048.8 0.08 13 — — — — — — LYD572 72385.1 1126.9 0.01 21 41.8 0.29 −4 34.4 L −4 LYD571 72357.5 — — — 41.5 0.18 −5 33.6 0.02 −6 LYD571 72358.3 — — — 40.6 L −7 32.6 L −9 LYD571 72360.2 1095.0 0.06 18 41.4 L −5 — — — LYD551 71984.1 1171.9 0.17 26 — — — — — — LYD551 71986.4 1185.0 0.06 27 40.5 L −7 33.1 L −8 LYD551 71986.7 1078.8 0.03 16 42.8 0.19 −2 35.0 0.07 −2 LYD551 71986.9 1027.5 0.14 10 — — — — — — LYD548 72656.1 1006.9 0.21 8 42.8 0.19 −2 — — — LYD548 72656.2 1117.6 0.13 20 — — — — — — LYD548 72676.1 — — — 42.9 0.21 −1 35.1 0.15 −2 LYD548 72677.1 1168.8 L 26 — — — — — — LYD531 71916.1 — — — — — — 34.1 0.21 −5 LYD531 71917.1 1026.9 0.13 10 41.9 0.07 −4 33.5 0.05 −7 LYD531 71917.2 1160.6 0.06 25 — — — — — — LYD531 71921.2 — — — 41.4 L −5 33.5 L −7 LYD527 72241.3 1016.9 0.28 9 41.9 0.15 −4 33.9 0.25 −5 LYD527 72243.3 — — — 42.4 0.05 −2 35.1 0.14 −2 LYD527 72245.2 — — — 42.1 0.02 −3 34.2 0.28 −5 LYD527 72246.3 1131.9 L 22 41.6 0.10 −4 33.9 0.18 −5 CONT. — 930.8 — 43.5 — — — 35.9 — — LYD684 72271.2 — — — 40.5 0.21 −4 — — — LYD684 72274.3 — — — 39.9 L −5 32.3 0.29 −7 LYD666 72391.3 — — — 41.1 0.11 −3 — — — LYD666 72393.1 — — — 40.5 0.10 −4 — — — LYD666 72394.5 — — — 40.2 0.01 −5 33.0 0.05 −5 LYD666 72396.2 1208.1 0.19 7 — — — 33.3 0.11 −4 LYD662 72008.3 — — — 39.8 0.03 −6 32.0 0.16 −7 LYD662 72011.2 — — — 41.0 0.10 −3 — — — LYD662 72011.4 — — — 40.3 0.14 −4 — — — LYD658 72279.1 — — — 41.0 0.08 −3 — — — LYD645 72341.2 — — — 41.3 0.15 −2 33.4 0.12 −3 LYD632 72771.1 — — — — — — 33.4 0.12 −3 LYD632 72774.3 1219.4 0.04 8 — — — — — — LYD631 72541.2 — — — — — — 33.6 0.17 −3 LYD631 72544.1 — — — 40.7 0.06 −4 — — — LYD631 72544.4 — — — 41.3 0.22 −2 33.3 0.11 −4 LYD627 72766.1 — — — 40.3 0.02 −5 32.0 0.16 −7 LYD627 72766.2 — — — — — — 33.6 0.17 −3 LYD627 72767.1 — — — 40.2 0.18 −5 — — — LYD586 71947.4 — — — — — — 33.4 0.12 −3 LYD586 71949.6 — — — 40.6 0.07 −4 33.3 0.09 −4 LYD586 71949.7 — — — 40.5 0.10 −4 33.0 0.05 −5 LYD571 72357.5 — — — 40.8 0.13 −3 — — — LYD571 72358.3 1205.0 0.07 7 39.9 0.24 −6 30.6 L −12 LYD571 72358.4 — — — 39.3 L −7 32.1 0.23 −7 LYD571 72360.2 — — — 40.6 0.07 −4 — — — LYD570 71934.2 — — — — — — 33.4 0.12 −3 LYD570 71936.2 — — — 40.7 0.15 −3 33.3 0.09 −4 LYD570 71938.2 — — — 40.2 0.01 −5 33.3 0.11 −4 LYD564 72182.4 — — — 39.6 L −6 31.7 0.29 −8 LYD564 72182.5 — — — — — — 33.3 0.09 −4 LYD564 72185.1 — — — 40.7 0.06 −4 33.3 0.11 −4 LYD564 72186.2 — — — 40.5 0.10 −4 — — — LYD560 71924.1 — — — — — — 33.6 0.17 −3 LYD560 71925.1 — — — 39.9 L −5 33.0 0.05 −5 LYD560 71926.1 — — — 41.2 0.12 −2 — — — LYD560 71927.1 — — — 40.9 0.26 −3 — — — LYD545 72510.2 — — — 40.0 0.01 −5 33.1 0.06 −4 LYD543 72251.2 — — — — — — 31.8 0.28 −8 LYD543 72252.1 — — — 39.6 L −6 31.8 0.20 −8 CONT. — 1124.2 — — 42.2 — — 34.6 — — LYD672 72346.4 — — — 41.5 0.14 −2 32.9 0.10 −5 LYD672 72347.3 — — — 40.7 0.06 −4 32.8 0.03 −6 LYD672 72348.1 — — — 41.0 0.21 −4 33.2 0.06 −5 LYD668 72020.2 1169.4 L 15 — — — — — — LYD664 72015.2 — — — 40.9 0.04 −4 32.8 L −6 LYD664 72016.2 — — — 40.6 0.24 −5 31.6 0.28 −9 LYD664 72017.8 1065.6 0.12 5 — — — — — — LYD661 72325.1 1112.5 0.20 10 — — — — — — LYD661 72325.4 — — — 40.1 L −6 33.1 0.06 −5 LYD661 72326.1 — — — 40.1 L −6 32.4 L −7 LYD661 72328.2 — — — 40.0 0.28 −6 32.5 0.14 −7 LYD661 72329.2 — — — 40.2 0.25 −5 32.8 0.12 −6 LYD657 72400.3 — — — 39.4 0.11 −7 32.4 L −7 LYD657 72402.1 — — — 41.4 0.01 −3 33.6 0.02 −3 LYD580 72188.2 1070.0 0.09 5 40.2 L −6 32.8 L −6 LYD580 72189.1 — — — — — — 33.6 0.28 −3 LYD580 72189.2 1090.2 0.23 7 — — — — — — LYD573 72973.3 — — — 41.6 0.11 −2 34.3 0.25 −1 LYD561 72178.1 — — — 40.7 0.12 −4 — — — LYD554 72169.2 — — — 41.4 L −3 33.9 0.16 −2 LYD553 72741.2 — — — 40.1 L −6 32.5 L −6 LYD553 72742.3 1073.1 0.21 6 — — — 33.7 0.09 −3 LYD547 71978.2 — — — 40.2 L −6 32.8 L −6 LYD547 71978.3 — — — — — — 33.1 0.09 −5 LYD547 71980.1 — — — 39.8 0.08 −6 32.9 L −5 LYD547 71980.3 — — — 40.6 0.06 −5 33.4 0.22 −4 LYD538 72839.5 — — — 40.8 0.03 −4 33.7 0.20 −3 LYD528 72311.1 — — — 40.5 0.02 −5 32.5 0.07 −7 LYD528 72312.3 — — — — — — 34.2 0.16 −1 LYD522 72720.1 — — — 40.9 0.15 −4 — — — LYD521 72607.1 — — — 40.0 L −6 32.4 0.10 −7 LYD521 72611.3 — — — 41.1 0.17 −3 33.4 0.01 −4 CONT. — 1014.5 — — 42.5 — — 34.8 — — LYD682 72566.1 — — — 41.5 0.05 −2 34.8 0.03 −3 LYD682 72568.2 — — — 41.0 0.02 −3 — — — LYD665 72211.2 — — — 40.2 0.06 −5 34.6 0.14 −4 LYD665 72216.5 1077.6 0.18 6 — — — — — — LYD650 72641.2 — — — 40.5 0.26 −5 — — — LYD644 72775.2 — — — 40.6 0.23 −4 — — — LYD644 72780.2 — — — 41.9 0.22 −1 35.3 0.27 −2 LYD639 72548.4 — — — 41.1 0.06 −3 — — — LYD639 72549.3 1111.9 0.01 9 — — — — — — LYD630 72404.3 1102.1 0.07 8 40.0 L −6 34.7 0.09 −3 LYD626 72002.1 1074.4 0.25 5 40.6 L −4 — — — LYD606 72500.2 — — — 40.8 0.19 −4 — — — LYD606 72500.5 — — — 41.7 0.15 −2 — — — LYD577 72745.4 — — — 41.0 0.09 −3 35.3 0.27 −2 LYD577 72750.4 — — — 40.7 0.19 −4 34.7 0.09 −3 LYD542 72733.2 1153.8 L 13 — — — — — — LYD526 72164.4 1081.9 0.07 6 — — — — — — LYD526 72167.4 — — — 39.6 0.14 −7 35.3 0.27 −2 LYD526 72168.1 — — — 40.6 L −4 — — — CONT. — 1019.8 — — 42.5 — — 35.9 — — LYD683 72867.2 — — — — — — 30.7 0.19 −3 LYD683 72867.4 1178.1 0.27 4 — — — — — — LYD674 72253.6 — — — 38.9 0.05 −2 30.2 0.06 −5 LYD674 72255.1 — — — — — — 30.5 0.12 −4 LYD664 72015.2 — — — — — — 30.7 0.19 −3 LYD664 72016.2 — — — — — — 30.3 0.07 −4 LYD664 72017.8 — — — 38.2 0.14 −4 30.1 0.05 −5 LYD643 72333.6 1229.9 0.17 8 — — — — — — LYD643 72336.3 — — — — — — 30.1 0.04 −5 LYD642 71820.2 — — — — — — 30.3 0.09 −4 LYD642 71824.5 1192.5 0.18 5 — — — 30.0 0.04 −5 LYD642 71825.1 — — — 38.4 0.25 −3 30.4 0.09 −4 LYD634 71995.1 1339.4 0.04 18 37.7 L −5 30.1 0.05 −5 LYD634 71996.2 1319.4 L 16 — — — — — — LYD634 71999.3 — — — 38.4 0.25 −3 30.4 0.09 −4 LYD629 72198.2 — — — 38.9 0.05 −2 30.1 0.04 −5 LYD629 72198.5 — — — — — — 30.0 0.04 −5 LYD622 72024.3 — — — 37.7 L −5 30.2 0.06 −5 LYD622 72027.5 — — — 38.2 0.14 −4 30.3 0.09 −4 LYD617 71966.6 — — — 38.7 0.02 −2 30.2 0.06 −5 LYD603 72537.3 — — — — — — 30.2 0.05 −5 LYD603 72537.5 — — — 39.2 0.20 −1 — — — LYD603 72537.7 — — — — — — 30.8 0.21 −3 LYD567 72495.3 — — — — — — 30.5 0.10 −4 LYD567 72496.2 — — — 39.0 0.08 −2 30.6 0.19 −3 LYD561 72177.1 — — — 38.2 0.14 −4 30.1 0.04 −5 LYD561 72178.2 — — — — — — 30.5 0.10 −4 LYD553 72743.1 1282.5 0.22 13 — — — — — — LYD553 72743.2 — — — — — — 30.5 0.10 −4 LYD547 71978.3 — — — — — — 30.1 0.04 −5 LYD547 71980.3 — — — — — — 30.5 0.10 −4 LYD547 71981.2 — — — 37.6 L −5 30.1 0.04 −5 LYD534 72414.3 1199.4 0.12 6 — — — — — — LYD531 71917.1 — — — — — — 30.1 0.04 −5 LYD531 71921.2 — — — — — — 30.1 0.04 −5 LYD531 71921.2 1236.9 0.04 9 — — — 30.1 0.04 −5 LYD521 72610.2 — — — — — — 30.6 0.19 −3 CONT. — 1135.4 — — 39.7 — — 31.7 — — Table 56. “CONT.”-Control; “Ave.”-Average; “% Incr.” = % increment; “p-val.”-p-value, L-p < 0.01. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4111). “—” = results are still unavailable.

TABLE 57 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Leaf Blade Area [cm²] Leaf Number Plot Coverage [cm²] Gene P- % P- % P- % Name Event # Ave Val. Incr. Ave Val. Incr. Ave Val. Incr. LYD689 72711.2 0.9 0.01 19 — — — 46.8 0.29 15 LYD689 72713.1 0.8 0.11 9 10.0 0.14 5 46.3 0.08 13 LYD677 72223.3 0.8 0.05 13 — — — 46.4 0.16 14 LYD677 72223.6 0.9 L 25 — — — 51.9 L 27 LYD677 72227.1 0.8 0.17 8 — — — — — — LYD675 72644.3 — — — — — — 46.4 0.27 14 LYD671 72880.1 0.8 0.26 6 — — — — — — LYD648 72831.3 0.8 0.23 8 — — — — — — LYD641 72635.2 0.8 0.03 15 — — — 46.1 0.19 13 LYD636 72204.1 0.8 0.09 10 — — — 44.4 0.21 9 LYD625 72752.4 0.8 0.21 7 — — — 44.4 0.25 9 LYD625 72755.1 — — — 10.2 0.05 7 — — — LYD625 72755.4 0.8 0.22 13 — — — — — — LYD602 72613.3 0.8 0.26 6 — — — — — — LYD599 72270.5 — — — 10.1 0.16 5 46.1 0.28 13 LYD598 72421.2 — — — — — — 44.3 0.26 8 LYD585 72986.1 0.8 0.15 16 — — — — — — LYD573 72977.1 0.8 0.05 16 10.2 0.10 7 49.7 0.02 22 CONT. — 0.7 — — 9.6 — — 40.8 — — LYD635 72630.2 — — — 12.4 0.16 14 69.9 0.28 18 LYD635 72630.4 1.1 L 24 — — — 74.1 0.13 25 LYD632 72769.2 1.0 0.15 6 — — — — — — LYD631 72542.3 1.2 L 31 11.9 0.16 10 85.9 L 45 LYD627 72764.3 1.0 0.02 11 — — — 66.8 0.01 12 LYD627 72765.1 1.1 L 16 — — — 67.6 L 14 LYD623 71970.2 1.1 0.03 18 — — — 71.0 0.09 19 LYD623 71970.4 1.0 0.17 14 — — — 68.2 L 15 LYD623 71972.3 1.1 0.14 23 11.4 0.03 6 74.9 0.19 26 LYD621 72571.1 1.0 0.27 4 — — — 63.8 0.12 7 LYD621 72573.3 1.2 0.19 29 11.8 0.22 9 80.2 0.20 35 LYD621 72574.3 — — — 11.5 0.03 6 65.5 0.05 10 LYD618 72621.2 1.0 0.10 8 — — — — — — LYD618 72622.2 — — — 11.2 0.15 3 — — — LYD618 72622.3 — — — 11.3 0.07 4 — — — LYD618 72624.4 1.1 0.06 18 11.7 0.15 8 79.0 0.04 33 LYD612 71817.3 — — — — — — 67.5 0.01 14 LYD612 71819.1 — — — 11.2 0.28 3 64.0 0.14 8 LYD603 72535.2 1.0 0.08 8 — — — 67.9 0.03 14 LYD603 72536.2 — — — 11.2 0.14 4 — — — LYD603 72537.5 1.0 0.20 10 — — — — — — LYD585 72986.1 1.1 0.05 22 — — — 71.7 L 21 LYD585 72986.2 1.0 0.05 9 — — — 65.6 0.11 10 LYD585 72988.3 1.1 0.15 17 12.0 L 11 74.4 0.20 25 LYD572 72385.1 1.0 0.22 10 11.8 0.22 9 70.1 0.22 18 LYD572 72386.1 — — — 11.1 0.28 3 — — — LYD571 72357.5 1.1 L 20 — — — 75.0 0.02 26 LYD571 72358.1 1.0 0.14 11 — — — 70.9 0.03 19 LYD571 72358.3 1.3 L 41 11.7 L 8 86.4 L 45 LYD571 72358.4 1.0 0.14 9 — — — 65.6 0.03 11 LYD571 72360.2 — — — 11.6 0.01 7 70.5 0.04 19 LYD551 71984.1 — — — 11.2 0.28 3 — — — LYD551 71986.4 1.1 L 19 — — — — — — LYD551 71986.7 1.0 0.05 9 11.7 L 8 66.4 0.02 12 LYD551 71986.9 — — — — — — 63.2 0.27 6 LYD548 72656.1 1.0 0.26 10 11.8 0.08 8 — — — LYD548 72673.3 — — — 11.7 0.04 8 64.7 0.06 9 LYD548 72676.1 1.0 L 15 — — — 70.8 L 19 LYD548 72677.1 1.0 0.13 6 — — — — — — LYD531 71916.1 1.0 0.23 9 — — — 67.9 0.20 14 LYD531 71917.1 1.1 L 18 11.5 0.15 6 72.6 L 22 LYD531 71917.2 — — — 11.9 L 10 72.0 0.06 21 LYD531 71921.2 1.1 0.02 18 11.9 0.06 10 76.7 L 29 LYD527 72241.3 1.1 0.14 21 11.4 0.25 6 72.3 0.06 22 LYD527 72243.3 1.0 L 14 11.4 0.07 5 68.8 L 16 LYD527 72243.4 — — — — — — 63.0 0.19 6 LYD527 72245.2 1.0 0.05 9 — — — 69.9 L 18 LYD527 72246.3 1.1 L 18 12.0 0.05 11 72.6 0.01 22 CONT. — 0.9 — — 10.8 — — 59.4 — — LYD684 72271.2 — — — 10.4 0.22 4 48.0 0.25 9 LYD684 72274.3 0.9 0.03 13 10.4 0.05 3 50.7 0.08 15 LYD666 72391.3 0.8 0.14 7 — — — — — — LYD666 72393.1 0.9 0.17 12 — — — 50.8 0.04 15 LYD666 72396.2 — — — 10.3 0.11 3 — — — LYD662 72008.3 0.9 0.03 14 — — — 51.5 0.01 17 LYD662 72011.4 0.9 0.02 12 — — — 46.9 0.24 6 LYD658 72277.2 0.8 0.18 7 — — — 47.5 0.17 7 LYD658 72282.1 0.8 0.04 11 — — — 50.0 0.04 13 LYD645 72340.2 — — — 10.2 0.17 2 — — — LYD645 72341.2 0.9 0.10 14 — — — 51.6 0.14 17 LYD632 72771.1 0.8 0.06 10 — — — 48.6 0.24 10 LYD632 72774.4 0.8 0.27 7 — — — — — — LYD631 72544.1 0.8 0.13 8 — — — — — — LYD631 72544.3 — — — 10.4 0.03 4 — — — LYD631 72544.4 0.9 0.03 11 — — — 50.9 0.02 15 LYD627 72764.3 0.8 0.16 7 — — — — — — LYD627 72765.1 — — — 10.8 L 7 49.7 0.08 13 LYD627 72766.1 1.0 0.04 30 — — — 58.7 L 33 LYD601 72872.2 0.9 0.02 13 — — — 51.0 0.04 16 LYD586 71949.6 0.8 0.09 8 — — — — — — LYD586 71949.7 0.9 0.03 11 10.6 0.14 5 53.1 0.02 20 LYD571 72357.5 0.8 0.25 8 — — — 51.1 0.07 16 LYD571 72358.3 1.0 L 30 11.4 0.06 13 60.9 0.03 38 LYD571 72358.4 0.9 0.21 15 — — — 49.9 0.10 13 LYD564 72182.4 0.9 0.09 17 — — — 55.5 0.11 26 LYD564 72182.5 0.8 0.15 6 — — — — — — LYD564 72185.1 0.8 0.10 8 10.7 0.25 6 50.0 0.04 13 LYD564 72186.2 — — — 10.3 0.11 3 — — — LYD560 71925.1 0.9 0.01 14 — — — 50.4 0.04 14 LYD545 72510.2 0.9 0.15 13 10.2 0.17 2 52.3 0.12 18 LYD543 72252.1 0.8 0.27 5 — — — 49.4 0.06 12 CONT. — 0.8 — — 10.0 — — 44.2 — — LYD672 72346.4 0.8 0.12 7 — — — 47.5 0.18 14 LYD672 72347.3 — — — 10.5 L 9 54.2 0.16 30 LYD668 72023.3 0.8 0.29 8 — — — 46.7 0.04 12 LYD664 72012.1 0.8 0.13 7 — — — 45.9 0.07 10 LYD664 72015.2 — — — — — — 44.8 0.22 8 LYD664 72016.2 0.9 L 20 10.1 0.05 6 53.1 L 28 LYD664 72017.8 0.8 0.22 13 9.9 0.25 3 47.3 0.16 14 LYD661 72325.1 — — — 10.1 0.16 5 — — — LYD661 72325.4 — — — 10.2 0.10 6 — — — LYD661 72326.1 0.8 0.08 8 — — — — — — LYD661 72328.2 0.9 0.14 21 10.4 0.24 8 56.0 0.28 35 LYD661 72329.2 0.9 0.05 16 — — — 51.4 0.07 23 LYD657 72400.3 0.9 0.17 27 10.5 L 9 54.8 0.26 32 LYD580 72188.2 0.9 0.11 16 — — — 51.8 L 24 LYD580 72189.1 0.8 0.05 12 10.3 0.06 8 48.7 0.01 17 LYD580 72192.3 0.9 L 20 9.8 0.29 2 51.9 L 25 LYD561 72177.1 0.8 0.30 13 — — — — — — LYD561 72178.1 0.9 0.11 17 — — — 51.4 0.19 23 LYD560 71925.1 0.8 0.12 7 — — — 48.6 0.25 17 LYD554 72169.2 0.8 0.16 7 — — — — — — LYD553 72741.2 0.8 0.09 8 — — — 45.1 0.29 8 LYD547 71978.2 0.9 0.16 29 10.9 0.04 13 57.5 0.12 38 LYD547 71978.3 — — — 10.0 0.12 4 50.9 0.29 22 LYD547 71980.1 0.8 0.22 9 10.2 0.15 7 47.3 0.08 14 LYD547 71980.3 0.8 0.09 8 10.1 0.05 6 47.6 0.07 14 LYD538 72835.2 0.8 0.06 9 — — — 45.0 0.13 8 LYD538 72839.5 — — — 10.1 0.04 5 — — — LYD528 72311.1 0.8 0.03 10 — — — 45.7 0.12 10 LYD528 72312.3 0.8 0.06 14 — — — 45.5 0.11 9 LYD522 72715.2 — — — 9.8 0.29 2 — — — LYD522 72720.1 0.9 L 16 10.1 0.03 6 49.8 0.02 20 LYD522 72720.2 — — — — — — 49.2 0.30 18 LYD521 72607.1 0.9 0.03 23 10.2 0.15 7 55.1 0.07 32 LYD521 72610.1 — — — 9.9 0.25 3 — — — LYD521 72610.2 — — — 10.1 0.03 6 58.3 0.22 40 LYD521 72611.3 0.8 0.28 7 — — — — — — CONT. — 0.7 — — 9.6 — — 41.6 — — LYD683 72870.1 0.8 0.02 16 — — — 44.3 0.05 26 LYD682 72566.1 0.8 L 26 — — — 46.7 L 33 LYD682 72568.2 0.8 L 21 — — — 45.9 0.02 31 LYD678 72787.2 0.7 0.08 7 9.8 0.12 5 41.5 0.03 18 LYD665 72211.2 0.8 L 20 — — — 44.6 L 27 LYD650 72639.4 0.7 0.04 13 — — — 41.2 0.02 18 LYD644 72775.1 0.7 0.01 13 — — — 41.1 0.03 17 LYD644 72775.2 0.8 0.24 20 9.9 0.11 5 45.1 0.17 29 LYD644 72780.2 0.7 0.03 13 — — — 42.3 0.12 21 LYD639 72548.4 0.7 0.22 13 9.8 0.20 4 44.0 L 26 LYD639 72548.6 — — — — — — 40.6 0.29 16 LYD639 72549.3 — — — — — — 41.2 0.02 17 LYD639 72551.1 0.7 0.21 13 — — — 40.9 0.22 17 LYD639 72551.2 0.8 0.01 24 — — — 44.7 L 27 LYD630 72404.3 0.9 L 34 — — — 50.9 L 45 LYD626 72002.1 0.7 0.06 10 — — — 40.3 0.04 15 LYD626 72004.4 — — — — — — 40.6 0.08 16 LYD606 72500.5 0.8 L 14 — — — 40.5 0.03 16 LYD606 72501.1 0.7 0.16 7 — — — — — — LYD577 72745.4 0.8 L 19 — — — 42.0 0.01 20 LYD577 72747.4 0.7 0.11 7 — — — 38.4 0.11 10 LYD577 72748.2 0.7 0.02 12 — — — 40.9 0.02 17 LYD577 72750.4 — — — — — — 44.2 0.29 26 LYD536 72529.2 — — — — — — 44.2 0.20 26 LYD536 72529.5 0.8 0.15 15 — — — 44.1 L 26 LYD536 72534.2 0.7 0.07 7 — — — 39.9 0.05 14 LYD526 72164.4 0.8 0.24 21 — — — 47.5 0.13 36 LYD526 72167.4 0.9 L 31 10.4 0.01 11 53.8 L 53 LYD526 72168.1 0.7 0.02 12 — — — 42.4 0.01 21 CONT. — 0.7 — — 9.4 — — 35.1 — — LYD683 72867.2 1.0 0.20 8 — — — 57.7 0.20 10 LYD674 72253.6 — — — 10.9 0.25 6 58.4 0.24 11 LYD664 72015.2 — — — 10.8 0.17 4 — — — LYD664 72016.2 1.0 0.13 12 — — — 57.9 0.21 10 LYD664 72017.8 1.1 0.03 27 11.6 L 12 69.3 L 32 LYD643 72336.3 — — — — — — 68.0 0.22 30 LYD642 71820.2 — — — 10.9 0.05 6 — — — LYD642 71824.5 1.0 0.17 10 11.4 0.05 10 58.2 0.16 11 LYD634 71995.1 — — — 11.1 0.10 8 60.9 0.13 16 LYD629 72195.1 — — — 11.1 0.19 7 58.9 0.13 12 LYD629 72198.2 — — — — — — 62.3 0.27 19 LYD629 72198.5 1.1 0.02 28 11.6 L 12 71.0 L 35 LYD622 72028.3 — — — 10.6 0.28 3 — — — LYD617 71966.6 1.0 0.08 12 — — — — — — LYD603 72535.2 — — — 10.6 0.28 3 — — — LYD595 72907.4 1.0 0.18 9 — — — — — — LYD595 72909.1 1.0 0.18 13 — — — 61.3 0.18 17 LYD595 72910.3 1.0 0.18 9 11.1 0.10 8 59.0 0.13 12 LYD567 72496.2 1.1 0.04 20 11.3 0.21 9 63.6 0.02 21 LYD561 72175.4 — — — 11.2 0.02 8 — — — LYD561 72177.1 0.9 0.30 7 — — — 59.5 0.12 13 LYD561 72178.2 — — — 10.9 0.05 6 — — — LYD553 72743.2 1.0 0.28 13 — — — 58.8 0.21 12 LYD547 71978.3 1.0 0.23 8 — — — 61.1 0.06 16 LYD547 71981.2 1.0 0.04 17 11.9 0.08 15 65.3 0.01 24 LYD531 71921.2 1.0 0.04 16 11.6 0.16 12 65.4 0.06 25 CONT. — 0.9 — — 10.3 — — 52.5 — — Table 57. “CONT.”-Control; “Ave.”-Average; “% Incr.” = % increment; “p-val.”-p-value, L-p < 0.01. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4111). “—” = results are still unavailable.

TABLE 58 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter RGR Of Leaf RGR Of Plot RGR Of Rosette Number (number/day) Coverage (cm²/day) Diameter (cm/day) Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYD689 72711.2 — — — — — — 0.4 0.14 15 LYD677 72223.6 — — — 6.4 0.08 26 0.4 0.29 10 LYD625 72755.1 — — — 6.4 0.12 27 0.4 0.23 13 LYD573 72977.1 — — — 6.2 0.14 22 — — — CONT. — — — — 5.1 — — 0.4 — — LYD635 72626.1 — — — 8.5 0.17 17 — — — LYD635 72626.2 — — — 8.2 0.29 13 — — — LYD635 72630.2 — — — 8.4 0.18 16 — — — LYD635 72630.4 — — — 9.0 0.04 24 0.5 0.09 17 LYD632 72770.2 — — — 8.5 0.16 18 — — — LYD631 72542.3 0.8 0.27 16 10.6 L 46 0.5 0.04 20 LYD627 72765.1 — — — 8.3 0.21 14 0.5 0.27 10 LYD623 71970.2 — — — 8.7 0.08 20 0.5 0.25 11 LYD623 71970.4 — — — 8.4 0.16 16 — — — LYD623 71972.3 — — — 9.0 0.04 25 0.5 0.21 13 LYD621 72573.3 — — — 9.8 L 36 0.5 0.19 13 LYD618 72624.4 — — — 9.5 0.01 31 — — — LYD612 71817.3 — — — 8.2 0.27 13 — — — LYD612 71818.3 0.8 0.23 19 — — — — — — LYD603 72535.2 — — — 8.4 0.16 16 — — — LYD585 72986.1 — — — 8.8 0.05 22 0.5 0.30 10 LYD585 72988.3 0.8 0.11 24 9.1 0.04 25 — — — LYD572 72385.1 — — — 8.6 0.10 20 — — — LYD572 72387.1 — — — 8.9 0.08 22 — — — LYD571 72357.5 — — — 9.1 0.03 26 0.5 0.21 12 LYD571 72358.1 0.8 0.27 16 8.6 0.10 19 — — — LYD571 72358.3 — — — 10.5 L 45 0.5 0.04 20 LYD571 72360.2 — — — 8.7 0.08 20 — — — LYD551 71986.2 0.8 0.26 16 — — — — — — LYD551 71986.4 — — — 8.5 0.13 18 0.5 0.25 11 LYD551 71986.7 0.8 0.26 17 — — — — — — LYD548 72656.1 — — — 8.3 0.20 15 — — — LYD548 72673.3 0.8 0.25 16 — — — — — — LYD548 72676.1 — — — 8.6 0.11 18 — — — LYD531 71916.1 — — — 8.2 0.24 13 — — — LYD531 71917.1 — — — 8.8 0.06 22 0.5 0.21 13 LYD531 71917.2 — — — 8.7 0.08 20 0.5 0.21 12 LYD531 71921.2 — — — 9.4 0.02 29 0.5 0.12 15 LYD527 72241.3 — — — 8.8 0.06 22 0.5 0.27 11 LYD527 72243.3 — — — 8.4 0.14 17 — — — LYD527 72245.2 — — — 8.5 0.14 17 — — — LYD527 72246.3 — — — 8.9 0.04 23 0.5 0.24 11 CONT. — 0.7 — — 7.2 — — 0.4 — — LYD684 72274.3 — — — 6.3 0.11 15 — — — LYD666 72393.1 — — — 6.2 0.14 14 — — — LYD662 72008.3 — — — 6.3 0.08 17 0.4 0.21 9 LYD662 72008.5 — — — — — — 0.4 0.15 14 LYD658 72277.2 0.7 0.28 14 — — — — — — LYD658 72282.1 — — — — — — 0.4 0.30 8 LYD645 72341.2 — — — 6.3 0.09 16 0.4 0.29 8 LYD632 72771.1 — — — 6.0 0.21 12 — — — LYD631 72544.1 0.6 0.30 12 — — — — — — LYD631 72544.4 — — — 6.2 0.11 15 0.4 0.16 11 LYD627 72764.3 0.7 0.27 14 — — — 0.4 0.18 11 LYD627 72765.1 — — — 6.0 0.23 11 — — — LYD627 72766.1 — — — 7.1 L 30 0.4 0.13 12 LYD601 72872.2 — — — 6.2 0.11 15 — — — LYD586 71949.7 — — — 6.5 0.04 20 — — — LYD571 72357.5 — — — 6.2 0.12 15 0.4 0.28 8 LYD571 72358.3 — — — 7.5 L 38 0.4 0.02 19 LYD571 72358.4 — — — 6.2 0.14 14 — — — LYD570 71934.2 0.7 0.23 15 — — — — — — LYD570 71936.4 0.7 0.04 25 — — — — — — LYD564 72182.4 — — — 6.6 0.03 23 — — — LYD564 72182.5 — — — 6.0 0.28 11 — — — LYD564 72185.1 — — — 6.1 0.18 13 0.4 0.20 10 LYD560 71925.1 — — — 6.1 0.17 13 0.4 0.26 8 LYD545 72510.2 — — — 6.5 0.05 20 — — — LYD543 72252.1 — — — 6.0 0.22 12 — — — CONT. — 0.6 — — 5.4 — — 0.3 — — LYD672 72346.4 — — — 6.0 0.26 16 — — — LYD672 72347.3 — — — 6.7 0.05 29 0.4 0.19 15 LYD664 72012.1 — — — — — — 0.4 0.27 12 LYD664 72016.2 — — — 6.6 0.06 28 — — — LYD661 72325.1 — — — 6.2 0.20 19 — — — LYD661 72326.1 — — — — — — 0.4 0.30 11 LYD661 72328.2 — — — 6.9 0.04 34 0.4 0.30 13 LYD661 72329.2 — — — 6.4 0.10 24 0.4 0.22 13 LYD657 72400.3 0.7 0.29 16 6.8 0.05 31 0.4 0.15 18 LYD580 72188.2 — — — 6.4 0.10 24 0.4 0.22 14 LYD580 72189.1 — — — 6.0 0.24 16 — — — LYD580 72192.3 — — — 6.4 0.10 25 — — — LYD561 72177.1 — — — 6.0 0.29 15 — — — LYD561 72178.1 — — — 6.4 0.11 24 — — — LYD560 71925.1 — — — 6.0 0.28 16 — — — LYD554 72174.4 — — — 6.2 0.27 19 — — — LYD547 71978.2 — — — 7.1 0.01 38 0.4 0.14 16 LYD547 71978.3 — — — 6.3 0.13 22 0.4 0.24 13 LYD547 71981.2 — — — 6.4 0.14 23 — — — LYD538 72838.3 — — — 6.3 0.20 22 — — — LYD522 72715.2 — — — 6.2 0.23 19 — — — LYD522 72720.1 — — — 6.1 0.21 18 0.4 0.28 12 LYD522 72720.2 — — — 6.2 0.20 19 — — — LYD521 72607.1 — — — 6.9 0.03 33 0.4 0.16 16 LYD521 72610.2 — — — 7.2 0.02 39 0.4 0.29 12 CONT. — 0.6 — — 5.2 — — 0.3 — — LYD683 72866.4 — — — 5.1 0.28 17 — — — LYD683 72870.1 — — — 5.5 0.09 27 0.4 0.23 11 LYD682 72566.1 — — — 5.7 0.06 31 — — — LYD682 72568.2 — — — 5.6 0.05 30 0.4 0.14 13 LYD678 72787.2 — — — 5.2 0.18 20 — — — LYD665 72211.2 — — — 5.4 0.08 26 — — — LYD650 72639.4 — — — 5.1 0.21 18 0.4 0.17 12 LYD644 72775.1 — — — 5.1 0.20 19 0.4 0.15 12 LYD644 72775.2 — — — 5.6 0.06 30 — — — LYD644 72780.2 — — — 5.2 0.17 21 — — — LYD639 72548.4 — — — 5.4 0.11 25 0.4 0.19 12 LYD639 72549.3 — — — 5.1 0.24 17 — — — LYD639 72551.1 — — — 5.1 0.23 18 — — — LYD639 72551.2 — — — 5.5 0.06 28 0.4 0.03 19 LYD630 72404.3 — — — 6.3 L 45 0.4 0.03 20 LYD626 72002.1 — — — 5.0 0.28 15 0.4 0.23 11 LYD626 72004.4 — — — 5.1 0.24 17 — — — LYD606 72500.2 — — — 5.2 0.21 20 — — — LYD606 72500.5 — — — 5.2 0.18 19 0.4 0.06 16 LYD577 72745.4 — — — 5.2 0.18 20 0.4 0.15 13 LYD577 72748.2 — — — 5.1 0.21 18 0.4 0.14 13 LYD577 72750.4 — — — 5.5 0.09 27 0.4 0.27 10 LYD536 72529.2 — — — 5.5 0.08 27 0.4 0.20 12 LYD536 72529.5 — — — 5.5 0.07 27 — — — LYD536 72534.2 — — — 5.0 0.30 15 — — — LYD526 72164.4 — — — 5.9 0.03 36 0.4 0.22 12 LYD526 72167.4 — — — 6.6 L 53 0.4 0.04 18 LYD526 72168.1 — — — 5.3 0.14 21 — — — CONT. — — — — 4.3 — — 0.3 — — LYD664 72017.8 — — — 8.5 0.03 29 0.4 0.20 14 LYD643 72336.3 — — — 8.3 0.05 27 — — — LYD629 72198.2 — — — 7.6 0.19 17 0.4 0.29 12 LYD629 72198.5 0.7 0.28 17 8.7 0.01 33 0.4 0.11 17 LYD595 72909.1 — — — 7.5 0.23 15 — — — LYD567 72496.2 — — — 8.0 0.08 22 0.4 0.21 13 LYD561 72175.4 0.7 0.26 17 — — — — — — LYD553 72743.2 — — — — — — 0.4 0.20 14 LYD547 71978.3 — — — 7.4 0.27 14 — — — LYD547 71981.2 0.7 0.21 21 8.0 0.08 22 0.4 0.14 16 LYD531 71921.2 — — — 8.0 0.07 23 0.4 0.29 11 CONT. — 0.6 — — 6.5 — — 0.4 — — Table 58. “CONT.”-Control; “Ave.”-Average; “% Incr.” = % increment; “p-val ”-p-value, L-p < 0.01. RGR = relative growth rate. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4111). “—” = results are still unavailable.

TABLE 59 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Harvest Index Rosette Area [cm²] Rosette Diameter [cm] Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYD689 72711.2 — — — 6.2 0.02 22 4.5 0.04 14 LYD689 72713.1 — — — 5.8 0.08 13 4.2 0.09 7 LYD677 72223.3 — — — 5.8 0.16 14 4.3 0.05 9 LYD677 72223.6 0.2 0.21 14 6.5 L 27 4.5 0.03 13 LYD677 72227.1 0.2 0.22 17 — — — — — — LYD675 72643.1 0.2 0.15 21 — — — — — — LYD675 72644.3 0.2 0.03 32 5.8 0.27 14 4.2 0.28 6 LYD648 72831.3 — — — — — — 4.1 0.23 5 LYD641 72632.2 0.2 0.04 27 — — — — — — LYD641 72635.2 0.2 0.04 27 5.8 0.19 13 4.3 0.04 10 LYD636 72204.1 — — — 5.6 0.21 9 — — — LYD625 72752.4 0.2 0.03 29 5.6 0.25 9 4.1 0.20 5 LYD625 72755.4 — — — — — — 4.3 0.18 8 LYD611 71991.1 0.2 0.25 50 — — — — — — LYD599 72270.5 0.2 0.18 15 5.8 0.28 13 — — — LYD598 72421.2 0.2 0.13 21 5.5 0.26 8 — — — LYD573 72977.1 0.2 0.05 26 6.2 0.02 22 4.3 0.08 9 CONT. — 0.2 — — 5.1 — — 3.9 — — LYD667 72031.1 — — — — — — 5.4 0.27 6 LYD635 72626.1 — — — — — — 5.6 0.21 11 LYD635 72630.2 — — — 8.7 0.28 18 — — — LYD635 72630.4 — — — 9.3 0.13 25 5.8 L 16 LYD632 72769.2 0.2 0.09 9 — — — 5.2 0.02 4 LYD631 72541.5 — — — — — — 5.3 0.01 4 LYD631 72542.3 0.2 0.02 12 10.7 L 45 6.0 L 19 LYD631 72544.1 0.2 0.02 13 — — — 5.2 0.14 3 LYD627 72764.3 — — — 8.4 0.01 12 5.4 L 7 LYD627 72765.1 — — — 8.4 L 14 5.5 0.11 8 LYD627 72766.2 — — — — — — 5.3 0.01 4 LYD623 71970.2 — — — 8.9 0.09 19 5.6 0.20 11 LYD623 71970.4 — — — 8.5 L 15 5.4 0.17 8 LYD623 71972.2 0.2 0.12 11 — — — — — — LYD623 71972.3 — — — 9.4 0.19 26 5.8 0.21 14 LYD621 72571.1 — — — 8.0 0.12 7 5.3 L 6 LYD621 72573.3 — — — 10.0 0.20 35 5.8 0.19 15 LYD621 72574.3 0.2 0.06 9 8.2 0.05 10 5.5 L 8 LYD618 72621.2 — — — — — — 5.3 0.20 6 LYD618 72622.2 0.2 0.12 9 — — — — — — LYD618 72622.3 — — — — — — 5.2 0.06 3 LYD618 72623.1 — — — — — — 5.2 0.05 4 LYD618 72624.4 0.2 0.22 10 9.9 0.04 33 5.8 L 14 LYD612 71817.3 0.2 L 16 8.4 0.01 14 5.4 0.03 7 LYD612 71819.1 — — — 8.0 0.14 8 — — — LYD603 72535.2 — — — 8.5 0.03 14 5.5 0.06 8 LYD603 72537.3 0.2 0.07 17 — — — — — — LYD593 71957.5 — — — — — — 5.2 0.06 3 LYD585 72986.1 0.2 0.07 9 9.0 L 21 5.6 L 10 LYD585 72986.2 0.2 0.10 8 8.2 0.11 10 5.3 L 5 LYD585 72988.3 — — — 9.3 0.20 25 5.5 0.21 10 LYD572 72385.1 — — — 8.8 0.22 18 — — — LYD572 72387.1 0.2 0.16 7 — — — — — — LYD571 72357.5 0.2 L 26 9.4 0.02 26 5.7 L 12 LYD571 72358.1 — — — 8.9 0.03 19 5.4 0.02 8 LYD571 72358.3 0.2 0.08 26 10.8 L 45 6.0 L 20 LYD571 72358.4 — — — 8.2 0.03 11 5.4 0.16 6 LYD571 72360.2 — — — 8.8 0.04 19 5.4 0.06 8 LYD551 71986.4 0.2 0.15 7 — — — 5.5 L 9 LYD551 71986.7 — — — 8.3 0.02 12 — — — LYD551 71986.9 0.2 0.03 21 7.9 0.27 6 5.2 0.17 2 LYD548 72673.3 — — — 8.1 0.06 9 5.3 L 6 LYD548 72676.1 — — — 8.9 L 19 5.5 0.10 8 LYD548 72677.1 — — — — — — 5.3 0.24 5 LYD531 71916.1 — — — 8.5 0.20 14 5.4 0.19 7 LYD531 71917.1 0.2 0.23 13 9.1 L 22 5.6 0.03 11 LYD531 71917.2 — — — 9.0 0.06 21 5.6 L 11 LYD531 71921.2 — — — 9.6 L 29 5.7 L 14 LYD527 72241.3 0.2 0.19 17 9.0 0.06 22 5.5 0.17 10 LYD527 72243.3 — — — 8.6 L 16 5.4 0.04 7 LYD527 72243.4 — — — 7.9 0.19 6 5.2 0.27 3 LYD527 72245.2 0.2 L 34 8.7 L 18 5.4 L 7 LYD527 72246.3 — — — 9.1 0.01 22 5.5 0.07 9 CONT. — 0.2 — — 7.4 — — 5.0 — — LYD684 72271.2 — — — 6.0 0.25 9 4.3 0.17 3 LYD684 72274.3 0.2 0.07 29 6.3 0.08 15 4.3 0.07 5 LYD666 72391.3 — — — — — — 4.2 0.28 2 LYD666 72393.1 0.1 0.22 19 6.3 0.04 15 — — — LYD662 72008.3 — — — 6.4 0.01 17 4.5 0.11 10 LYD662 72011.4 0.2 0.06 31 5.9 0.24 6 4.2 0.25 3 LYD658 72277.2 — — — 5.9 0.17 7 4.3 0.15 4 LYD658 72279.3 0.2 0.08 28 — — — — — — LYD658 72282.1 — — — 6.2 0.04 13 4.5 L 8 LYD645 72341.2 — — — 6.4 0.14 17 4.4 0.05 8 LYD632 72771.1 0.1 0.27 18 6.1 0.24 10 4.3 0.06 5 LYD631 72541.2 0.1 0.25 17 — — — — — — LYD631 72544.3 — — — — — — 4.2 0.27 3 LYD631 72544.4 — — — 6.4 0.02 15 4.5 0.05 9 LYD627 72764.3 — — — — — — 4.4 0.04 6 LYD627 72765.1 — — — 6.2 0.08 13 — — — LYD627 72766.1 — — — 7.3 L 33 4.8 0.05 15 LYD618 72622.3 — — — — — — 4.4 0.05 6 LYD601 72872.2 — — — 6.4 0.04 16 4.5 0.13 8 LYD586 71949.7 — — — 6.6 0.02 20 4.4 0.05 7 LYD571 72357.5 — — — 6.4 0.07 16 4.5 0.15 8 LYD571 72358.3 — — — 7.6 0.03 38 4.8 L 17 LYD571 72358.4 0.2 0.04 38 6.2 0.10 13 4.3 0.24 5 LYD571 72360.2 0.1 0.25 16 — — — — — — LYD570 71936.2 0.1 0.30 19 — — — — — — LYD564 72182.4 0.1 0.19 22 6.9 0.11 26 4.6 0.14 11 LYD564 72182.5 — — — — — — 4.3 0.19 4 LYD564 72185.1 — — — 6.2 0.04 13 4.4 0.03 7 LYD560 71925.1 0.2 0.07 29 6.3 0.04 14 4.4 0.01 8 LYD560 71926.1 0.2 0.20 24 — — — — — — LYD560 71927.1 0.2 0.10 26 — — — — — — LYD545 72510.2 0.2 0.21 39 6.5 0.12 18 4.4 0.15 6 LYD543 72251.2 0.2 0.11 34 — — — — — — LYD543 72252.1 — — — 6.2 0.06 12 4.3 0.10 4 CONT. — 0.1 — — 5.5 — — 4.1 — — LYD672 72346.4 0.2 0.28 26 5.9 0.18 14 4.2 0.17 5 LYD672 72347.3 — — — 6.8 0.16 30 4.5 0.20 14 LYD668 72020.4 0.2 0.14 13 — — — — — — LYD668 72023.3 0.2 0.02 25 5.8 0.04 12 4.1 0.26 4 LYD664 72012.1 0.3 0.10 37 5.7 0.07 10 4.3 0.06 7 LYD664 72015.2 — — — 5.6 0.22 8 — — — LYD664 72016.2 — — — 6.6 L 28 4.4 0.01 11 LYD664 72017.7 0.2 0.26 15 — — — — — — LYD664 72017.8 0.2 0.09 22 5.9 0.16 14 — — — LYD661 72326.1 0.2 0.20 11 — — — — — — LYD661 72328.2 — — — 7.0 0.28 35 4.6 0.27 14 LYD661 72329.2 0.3 0.01 32 6.4 0.07 23 4.4 0.13 10 LYD657 72400.1 0.2 0.01 22 — — — — — — LYD657 72400.3 — — — 6.8 0.26 32 4.6 0.29 15 LYD657 72401.2 0.3 L 29 — — — 4.2 0.27 5 LYD657 72402.1 0.3 0.07 30 — — — — — — LYD580 72188.2 0.2 0.03 18 6.5 L 24 4.5 0.08 12 LYD580 72189.1 — — — 6.1 0.01 17 4.3 0.05 7 LYD580 72191.1 0.2 0.10 17 — — — — — — LYD580 72192.3 0.3 0.14 48 6.5 L 25 4.5 L 12 LYD573 72973.2 0.2 0.11 12 — — — — — — LYD573 72977.1 0.2 0.17 19 — — — — — — LYD561 72177.1 0.2 0.28 12 — — — 4.2 0.28 6 LYD561 72177.2 0.2 0.16 23 — — — — — — LYD561 72178.1 — — — 6.4 0.19 23 4.3 0.15 9 LYD560 71922.1 0.3 L 29 — — — — — — LYD560 71925.1 0.2 0.11 16 6.1 0.25 17 — — — LYD560 71926.1 0.2 0.01 21 — — — — — — LYD554 72174.4 0.2 0.10 24 — — — — — — LYD553 72741.2 0.2 0.06 15 5.6 0.29 8 4.2 0.09 6 LYD553 72743.2 0.2 0.26 9 — — — — — — LYD547 71978.2 — — — 7.2 0.12 38 4.7 0.06 17 LYD547 71978.3 — — — 6.4 0.29 22 4.4 0.28 12 LYD547 71980.1 0.2 0.19 24 5.9 0.08 14 — — — LYD547 71980.3 0.2 0.25 21 5.9 0.07 14 4.2 0.14 5 LYD538 72835.2 0.2 L 25 5.6 0.13 8 4.2 0.15 5 LYD528 72310.1 0.3 L 39 — — — — — — LYD528 72311.1 — — — 5.7 0.12 10 4.2 0.21 5 LYD528 72312.2 0.2 0.07 24 — — — — — — LYD528 72312.3 — — — 5.7 0.11 9 4.3 0.12 7 LYD528 72312.4 0.2 0.16 18 — — — — — — LYD522 72716.6 0.2 0.25 25 — — — — — — LYD522 72720.1 — — — 6.2 0.02 20 4.3 0.02 9 LYD522 72720.2 — — — 6.2 0.30 18 — — — LYD521 72607.1 0.3 0.24 34 6.9 0.07 32 4.5 0.10 13 LYD521 72610.1 0.2 0.24 12 — — — — — — LYD521 72610.2 0.3 0.23 28 7.3 0.22 40 — — — LYD521 72611.1 0.2 0.01 22 — — — — — — CONT. — 0.2 — — 5.2 — — 4.0 — — LYD683 72870.1 — — — 5.5 0.05 26 4.1 L 13 LYD682 72565.1 — — — — — — 3.9 0.14 7 LYD682 72566.1 — — — 5.8 L 33 4.2 L 15 LYD682 72568.2 0.1 0.26 14 5.7 0.02 31 4.2 L 16 LYD678 72787.2 — — — 5.2 0.03 18 3.9 0.05 8 LYD665 72211.2 — — — 5.6 L 27 4.0 L 11 LYD665 72216.5 — — — — — — 3.8 0.07 5 LYD650 72639.4 — — — 5.2 0.02 18 4.1 L 13 LYD644 72775.1 — — — 5.1 0.03 17 3.9 0.03 8 LYD644 72775.2 — — — 5.6 0.17 29 4.1 0.15 14 LYD644 72780.2 0.1 0.19 42 5.3 0.12 21 4.0 0.03 10 LYD639 72548.4 — — — 5.5 L 26 4.1 L 12 LYD639 72548.6 — — — 5.1 0.29 16 3.9 0.22 8 LYD639 72549.3 — — — 5.1 0.02 17 4.0 0.01 10 LYD639 72551.1 — — — 5.1 0.22 17 — — — LYD639 72551.2 0.1 0.27 18 5.6 L 27 4.2 L 17 LYD630 72404.3 — — — 6.4 L 45 4.5 L 23 LYD626 72002.1 0.1 0.11 49 5.0 0.04 15 4.0 0.02 9 LYD626 72004.4 0.1 0.23 26 5.1 0.08 16 3.9 0.07 8 LYD606 72500.5 — — — 5.1 0.03 16 4.0 L 11 LYD606 72501.1 — — — — — — 3.8 0.26 4 LYD577 72745.4 — — — 5.2 0.01 20 4.1 L 13 LYD577 72747.4 — — — 4.8 0.11 10 3.9 0.03 8 LYD577 72748.2 — — — 5.1 0.02 17 4.1 L 12 LYD577 72750.4 0.1 0.26 32 5.5 0.29 26 4.1 0.21 13 LYD536 72529.2 — — — 5.5 0.20 26 4.2 0.17 15 LYD536 72529.5 — — — 5.5 L 26 4.1 L 13 LYD536 72534.2 — — — 5.0 0.05 14 3.9 0.04 8 LYD526 72164.4 — — — 5.9 0.13 36 4.2 0.11 17 LYD526 72167.4 — — — 6.7 L 53 4.5 L 23 LYD526 72168.1 0.1 0.07 33 5.3 0.01 21 4.0 0.10 9 CONT. — 0.1 — — 4.4 — — 3.6 — — LYD683 72867.2 — — — 7.2 0.20 10 4.7 0.20 5 LYD674 72253.6 0.2 0.12 17 7.3 0.24 11 — — — LYD674 72255.1 0.2 0.10 23 — — — — — — LYD664 72016.2 — — — 7.2 0.21 10 4.7 0.23 5 LYD664 72017.8 0.2 L 25 8.7 L 32 5.1 0.05 13 LYD643 72336.3 0.2 0.02 10 8.5 0.22 30 — — — LYD642 71824.5 — — — 7.3 0.16 11 4.8 0.12 7 LYD642 71825.1 0.2 L 14 — — — — — — LYD634 71995.1 — — — 7.6 0.13 16 — — — LYD634 71999.3 0.2 L 17 — — — — — — LYD629 72195.1 — — — 7.4 0.13 12 4.7 0.17 6 LYD629 72198.2 0.2 L 19 7.8 0.27 19 4.9 0.27 9 LYD629 72198.5 — — — 8.9 L 35 5.2 L 16 LYD622 72027.5 0.2 L 24 — — — — — — LYD617 71966.6 — — — — — — 4.7 0.22 5 LYD595 72909.1 — — — 7.7 0.18 17 4.8 0.17 8 LYD595 72910.3 — — — 7.4 0.13 12 — — — LYD567 72496.2 0.2 0.02 12 8.0 0.02 21 4.8 0.09 7 LYD567 72496.3 0.2 0.20 5 — — — — — — LYD561 72175.4 0.2 0.11 11 — — — — — — LYD561 72177.1 — — — 7.4 0.12 13 4.7 0.26 5 LYD553 72743.2 0.2 0.01 16 7.4 0.21 12 4.9 0.10 9 LYD547 71978.3 — — — 7.6 0.06 16 4.8 0.13 8 LYD547 71981.2 — — — 8.2 0.01 24 5.0 0.02 12 LYD531 71921.2 — — — 8.2 0.06 25 4.9 0.04 10 CONT. — 0.2 — — 6.6 — — 4.5 — — Table 59. “CONT.”-Control; “Ave.”-Average; “% Incr.” = % increment; “p-val.”-p-value, L-p < 0.01. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4111). “—” = results are still unavailable.

TABLE 60 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Gene Seed Yield [mg] 1000 Seed Weight [mg] Name Event # Ave. P-Val. % Incr. Ave. P-Val. % Incr. LYD689 72711.2 205.6 0.26 33 27.5 0.25 19 LYD689 72713.1 171.1 0.25 10 25.2 0.02 9 LYD677 72227.1 191.4 0.04 23 24.3 0.21 6 LYD675 72643.1 175.7 0.16 13 — — — LYD675 72644.3 173.1 0.21 12 — — — LYD641 72632.2 198.5 0.10 28 — — — LYD641 72635.2 179.0 0.14 15 23.8 0.14 3 LYD636 72204.1 — — — 27.0 0.27 17 LYD625 72752.4 187.9 0.05 21 — — — LYD625 72756.2 — — — 25.3 0.21 10 LYD599 72270.5 183.2 0.07 18 — — — LYD573 72977.1 186.6 0.25 20 — — — CONT. — 155.2 — — 23.1 — — LYD667 72030.4 — — — 18.8 0.30 3 LYD667 72035.6 175.8 0.11 13 — — — LYD635 72626.1 185.3 0.27 20 — — — LYD635 72630.2 — — — 21.7 0.22 19 LYD632 72769.2 170.0 0.22 10 — — — LYD632 72770.2 — — — 19.3 0.06 5 LYD632 72771.1 — — — 20.2 L 10 LYD632 72774.4 204.8 0.05 32 — — — LYD631 72542.3 180.0 0.07 16 20.2 0.21 11 LYD631 72544.1 174.3 0.26 13 — — — LYD631 72544.4 — — — 21.3 L 17 LYD627 72764.3 — — — 20.3 0.14 11 LYD627 72765.1 — — — 19.6 0.02 7 LYD627 72766.1 — — — 19.8 0.06 8 LYD623 71970.2 185.5 0.08 20 — — — LYD623 71974.1 215.8 0.26 39 19.1 0.12 4 LYD618 72621.2 — — — 19.3 0.09 5 LYD618 72622.2 202.6 0.04 31 — — — LYD618 72624.4 196.1 0.18 27 21.4 0.29 17 LYD612 71817.3 186.8 0.07 21 — — — LYD603 72536.2 196.2 0.20 27 — — — LYD603 72537.3 180.7 0.06 17 — — — LYD603 72537.7 209.6 0.19 35 — — — LYD585 72986.1 209.3 0.09 35 — — — LYD585 72986.2 203.8 L 32 — — — LYD585 72986.4 188.1 0.02 21 — — — LYD585 72988.3 186.2 0.25 20 19.8 0.05 8 LYD572 72387.1 176.6 0.24 14 — — — LYD572 72388.2 185.3 0.24 20 — — — LYD571 72357.5 210.4 L 36 — — — LYD571 72358.3 199.2 0.05 29 20.8 L 14 LYD551 71986.4 209.9 0.02 35 — — — LYD551 71986.7 203.3 0.11 31 — — — LYD551 71986.9 206.2 0.04 33 — — — LYD531 71916.1 — — — 20.7 L 13 LYD531 71917.1 193.3 0.11 25 — — — LYD531 71917.2 — — — 20.0 0.03 9 LYD527 72241.3 197.2 L 27 — — — LYD527 72245.2 207.2 0.17 34 — — — LYD527 72246.3 190.5 0.04 23 — — — CONT. — 154.9 — — 18.3 — — LYD684 72274.3 166.6 0.25 19 — — — LYD666 72393.1 163.6 0.29 17 — — — LYD662 72011.4 188.5 0.05 35 — — — LYD658 72282.1 — — — 20.6 0.02 5 LYD632 72771.1 — — — 22.7 L 15 LYD632 72774.3 — — — 20.5 0.05 4 LYD631 72544.4 — — — 21.8 0.02 10 LYD627 72764.3 — — — 21.7 0.18 10 LYD627 72765.1 — — — 23.3 0.07 18 LYD601 72872.2 — — — 20.2 0.23 2 LYD571 72358.1 — — — 21.1 0.16 7 LYD571 72358.3 173.9 0.28 24 22.8 0.03 16 LYD571 72358.4 190.9 0.06 36 20.3 0.25 3 LYD570 71935.1 — — — 20.8 L 6 LYD570 71936.2 — — — 20.6 0.26 4 LYD564 72182.4 172.7 0.28 23 — — — LYD564 72182.5 — — — 21.0 0.07 7 LYD560 71925.1 179.4 0.10 28 — — — LYD560 71927.1 170.0 0.20 21 — — — LYD545 72510.2 183.4 0.23 31 — — — LYD543 72251.2 175.6 0.23 25 — — — CONT. — 140.1 — — 19.7 — — LYD672 72347.2 268.4 L 36 — — — LYD672 72347.3 — — — 22.7 0.10 13 LYD672 72348.1 220.3 0.15 11 — — — LYD668 72020.2 — — — 21.5 0.25 7 LYD668 72023.1 — — — 21.6 0.16 8 LYD668 72023.3 218.8 0.15 11 — — — LYD664 72012.1 244.8 0.01 24 — — — LYD664 72015.2 225.2 0.07 14 — — — LYD664 72017.7 227.5 0.06 15 — — — LYD664 72017.8 254.0 0.04 28 — — — LYD661 72325.1 — — — 23.6 0.11 18 LYD661 72329.2 258.5 L 31 — — — LYD657 72400.1 222.1 0.15 12 — — — LYD657 72401.2 233.5 0.03 18 — — — LYD657 72402.1 249.7 0.04 26 — — — LYD580 72188.2 246.1 L 24 21.6 0.08 8 LYD580 72189.2 248.5 0.24 26 — — — LYD580 72192.3 277.0 0.13 40 — — — LYD561 72177.2 246.7 L 25 — — — LYD561 72179.1 221.4 0.19 12 — — — LYD560 71922.1 239.6 0.14 21 — — — LYD560 71925.1 243.7 0.01 23 — — — LYD560 71926.1 238.5 0.06 20 — — — LYD554 72174.4 241.0 0.02 22 — — — LYD547 71978.2 — — — 22.5 0.06 12 LYD547 71980.3 215.7 0.21 9 — — — LYD538 72835.2 243.9 0.02 23 — — — LYD528 72310.1 277.8 L 40 — — — LYD528 72312.2 236.6 0.17 19 — — — LYD528 72312.4 237.6 0.28 20 — — — LYD522 72716.2 244.8 0.19 24 — — — LYD522 72716.6 247.0 0.21 25 — — — LYD521 72611.1 237.8 0.28 20 — — — CONT. — 198.0 — — 20.0 — — LYD682 72566.1 — — — 25.2 0.29 6 LYD682 72568.2 100.2 0.17 17 — — — LYD665 72211.2 — — — 26.3 0.01 11 LYD644 72780.2 126.2 0.29 48 — — — LYD630 72404.3 116.1 0.28 36 26.6 0.04 12 LYD626 72002.1 134.7 0.05 58 — — — LYD626 72004.4 105.6 0.07 24 — — — LYD606 72500.2 — — — 24.9 0.12 5 LYD577 72750.4 106.8 0.06 25 — — — LYD526 72167.4 — — — 24.8 0.14 5 LYD526 72168.1 113.5 0.03 33 — — — CONT. — 85.5 — — 23.7 — — LYD683 72866.4 — — — 20.4 0.29 4 LYD674 72255.1 246.4 0.16 28 — — — LYD664 72015.2 208.6 L 9 20.1 0.24 3 LYD664 72016.2 197.0 0.30 3 21.1 0.01 8 LYD643 72333.2 — — — 20.1 0.25 3 LYD643 72336.3 — — — 22.9 0.08 17 LYD643 72336.6 — — — 21.4 0.05 9 LYD642 71824.5 — — — 24.0 0.13 23 LYD634 71995.1 — — — 25.0 0.08 28 LYD634 71999.3 230.6 0.04 20 — — — LYD629 72195.1 — — — 20.4 0.29 4 LYD629 72198.5 200.8 0.08 5 21.8 L 12 LYD622 72027.5 — — — 20.9 0.17 7 LYD622 72028.3 — — — 20.9 0.02 7 LYD617 71964.2 — — — 20.0 0.26 3 LYD617 71966.6 219.6 0.28 14 — — — LYD603 72537.3 215.9 0.21 12 — — — LYD595 72909.1 — — — 21.6 0.11 11 LYD595 72910.3 206.8 0.04 8 — — — LYD567 72495.3 — — — 20.2 0.19 4 LYD567 72496.2 217.3 L 13 — — — LYD561 72175.4 212.5 0.21 11 — — — LYD561 72177.1 215.3 0.04 12 — — — LYD561 72177.2 — — — 20.5 0.28 5 LYD553 72743.1 252.4 0.29 31 — — — LYD547 71978.3 209.6 L 9 — — — LYD547 71980.3 — — — 20.3 0.19 4 LYD547 71981.2 — — — 22.8 0.23 17 LYD534 72411.2 — — — 20.3 0.12 4 LYD534 72414.3 224.6 0.27 17 20.9 0.03 7 LYD521 72607.1 — — — 20.2 0.22 4 LYD521 72610.2 — — — 20.1 0.24 3 CONT. — 192.1 — — 19.5 — — Table 60. “CONT.”-Control; “Ave.”-Average; “% Incr.” = % increment; “p-val.”-p-value, L-p < 0.01. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ NO: 4111). “—” = results are still unavailable.

Example 16

Evaluation of Transgenic Arabidopsis for Seed Yield and Plant Growth Rate Under Normal Conditions in Greenhouse Assays Until Bolting (GH-SB Assays)

Assay 2: Plant performance improvement measured until bolting stage: plant biomass and plant growth rate under normal greenhouse conditions (GH-SB Assays)—This assay follows the plant biomass formation and the rosette area growth of plants grown in the greenhouse under normal growth conditions. Transgenic Arabidopsis seeds were sown in agar media supplemented with ½ MS medium and a selection agent (Kanamycin). The T₂ transgenic seedlings were then transplanted to 1.7 trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing of 6 mM inorganic nitrogen in the form of KNO₃ with 1 mM KH₂PO₄, 1 mM MgSO₄, 2 mM CaCl₂ and microelements. All plants were grown in the greenhouse until bolting stage. Plant biomass (the above ground tissue) was weight in directly after harvesting the rosette (plant fresh weight [FW]). Following plants were dried in an oven at 50° C. for 48 hours and weighted (plant dry weight [DW]).

Each construct was validated at its T₂ generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the 35S promoter and the selectable marker was used as control.

The plants were analyzed for their overall size, growth rate, fresh weight and dry matter. Transgenic plants performance was compared to control plants grown in parallel under the same conditions. Mock-transgenic plants expressing the uidA reporter gene (GUS-Intron) or with no gene at all, under the same promoter were used as control.

The experiment was planned in nested randomized plot distribution. For each gene of the invention three to five independent transformation events were analyzed from each construct.

Digital imaging—A laboratory image acquisition system, which consists of a digital reflex camera (Canon EOS 300D) attached with a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which includes 4 light units (4×150 Watts light bulb) was used for capturing images of plant samples.

The image capturing process was repeated every 2 days starting from day 1 after transplanting till day 15. Same camera, placed in a custom made iron mount, was used for capturing images of larger plants sawn in white tubs in an environmental controlled greenhouse. The tubs were square shape include 1.7 liter trays. During the capture process, the tubes were placed beneath the iron mount, while avoiding direct sun light and casting of shadows.

An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.39 [Java based image processing program which was developed at the U.S. National Institutes of Health and freely available on the internet at Hypertext Transfer Protocol://rsbweb (dot) nih (dot) gov/]. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Leaf analysis—using the digital analysis leaves data was calculated, including leaf number, rosette area, rosette diameter, and leaf blade area.

Vegetative growth rate: the relative growth rate (RGR) of leaf number (Formula IX, described above), rosette area (Formula VIII described above) and plot coverage (Formula XIV, described above) were calculated using the indicated formulas.

Plant fresh and dry weight—On about day 80 from sowing, the plants were harvested and directly weight for the determination of the plant fresh weight (FW) and left to dry at 50° C. in a drying chamber for about 48 hours before weighting to determine plant dry weight (DW).

Statistical analyses—To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. Data was analyzed using Student's t-test and results are considered significant if the p value was less than 0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).

Experimental Results:

Tables 61-63 summarize the observed phenotypes of transgenic plants expressing the genes constructs using the GH-SB Assays.

The genes listed in Tables 61-63 improved plant performance when grown at normal conditions. These genes produced larger plants with a larger photosynthetic area, biomass (fresh weight, dry weight, rosette diameter, rosette area and plot coverage), and relative growth rate (of leaf number, plot coverage and rosette diameter) as compared to control plants grown under identical growth conditions. The genes were cloned under the regulation of a constitutive At6669 promoter (SEQ ID NO:4111). The evaluation of each gene was performed by testing the performance of different number of events. Event with p-value <0.1 was considered statistically significant.

TABLE 61 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Dry Weight Fresh Weight Leaf [mg] [mg] Number Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYD684 72271.4 377.2 0.04 13  4795.5 0.01 11  — — — LYD684 72274.1 379.4 L 14  4718.8 L 9 11.1 0.03 7 LYD672 72347.3 364.8 L 9 4987.5 L 15  — — — LYD667 72030.1 368.8 0.07 11  4643.8 L 7 — — — LYD667 72031.1 371.9 0.03 11  4575.0 0.02 6 — — — LYD661 72325.1 366.2 L 10  4831.2 L 12  11.9 0.17 14  LYD661 72328.1 358.3 0.02 7 — — — 11.1 0.23 6 LYD661 72328.2 — — — — — — 10.8 0.11 4 LYD651 73026.4 — — — 4675.0 L 8 — — — LYD626 72004.4 — — — — — — 11.2 0.01 8 LYD620 73066.3 359.4 L 8 4681.2 L 8 11.4 0.07 9 LYD617 71966.2 349.4 0.05 5 4581.2 0.10 6 — — — LYD617 71966.3 358.1 0.04 7 4600.0 0.11 6 — — — LYD617 71966.6 345.6 0.11 4 4568.8 0.15 6 11.4 0.02 10  LYD612 71814.5 — — — 4618.8 0.01 7 — — — LYD612 71818.3 350.6 0.07 5 — — — — — — LYD609 73124.4 — — — 4943.8 0.01 14  11.2 0.22 8 LYD609 73125.3 — — — 4581.2 0.29 6 — — — LYD609 73125.4 365.6 0.10 10  4543.8 0.06 5 10.9 0.05 5 LYD596 73639.1 360.0 0.01 8 4506.2 0.19 4 — — — LYD593 71952.1 365.0 0.03 9 4593.8 0.02 6 — — — LYD593 71957.5 347.1 0.09 4 — — — — — — LYD574 73118.4 376.9 0.02 13  4783.0 L 11  11.1 0.03 7 LYD574 73122.3 371.9 L 11  4625.0 L 7 — — — LYD564 72182.4 — — — 4437.5 0.23 3 — — — LYD558 73112.3 390.0 0.16 17  5143.8 L 19  11.4 0.18 9 LYD558 73114.3 — — — 4600.9 L 6 11.2 0.01 8 LYD527 72241.3 — — — 4662.5 0.22 8 — — — LYD527 72243.4 — — — 4581.2 0.07 6 — — — LYD527 72246.3 378.1 0.11 13  4781.2 L 11  — — — LYD526 72164.4 367.5 0.17 10  4518.8 0.13 5 — — — LYD526 72164.5 — — — — — — 10.8 0.11 4 LYD526 72167.4 — — — 4687.5 0.06 8 10.9 0.27 4 LYD526 72168.1 — — — 4475.0 0.10 4 — — — CONT. — 333.6 — — 4322.7 — — 10.4 — — LYD680 72230.2 — — — — — —  9.8 0.26 5 LYD680 72232.1 — — — — — — 10.2 0.06 10  LYD668 72019.2 — — — — — —  9.8 L 6 LYD668 72019.3 — — — — — —  9.9 0.03 7 LYD668 72020.2 257.1 0.03 15  3474.1 0.29 11   9.6 0.02 4 LYD668 72023.3 262.0 0.07 17  3536.6 0.17 13  — — — LYD664 72012.1 277.9 0.12 24  3435.7 0.28 9  9.9 0.20 7 LYD664 72015.2 — — — — — —  9.9 0.03 7 LYD664 72016.2 235.0 0.30 5 3450.0 0.01 10   9.9 0.03 7 LYD664 72017.8 260.0 0.03 16  3356.2 0.05 7  9.9 0.10 7 LYD661 72325.1 — — — 3386.6 0.17 8  9.6 0.12 4 LYD661 72325.4 236.9 0.28 6 3400.0 0.19 8 — — — LYD661 72328.2 258.1 0.01 15  3700.0 L 18   9.9 0.03 7 LYD661 72329.2 — — — 3481.2 0.29 11  — — — LYD657 72400.1 236.2 0.26 6 — — — — — — LYD657 72400.3 — — — 3630.4 0.13 16  — — — LYD657 72401.1 280.5 0.04 25  3461.6 0.16 10  — — — LYD657 72401.2 — — — 3325.0 0.14 6 — — — LYD642 71820.2 — — — — — —  9.7 0.02 5 LYD642 71824.5 290.0 0.23 30  3868.8 0.23 23  10.8 0.15 17  LYD642 71825.1 — — — 3368.8 0.28 7  9.9 0.03 7 LYD642 71825.3 — — — 3356.2 0.06 7  9.7 0.20 5 LYD631 72541.2 — — — — — —  9.6 0.07 3 LYD631 72544.3 268.2 0.10 20  3484.5 0.08 11  — — — LYD631 72544.4 — — — 3318.8 0.17 6 — — — LYD621 72571.1 248.1 0.06 11  3431.2 0.17 9 — — — LYD621 72573.6 272.5 0.01 22  3681.2 0.21 17   9.8 0.25 6 LYD621 72574.1 — — — 3468.8 0.14 11  — — — LYD618 72621.2 — — — 3393.8 0.03 8  9.6 0.02 4 LYD618 72622.2 — — — 3562.5 0.20 13  — — — LYD618 72622.3 247.5 0.14 11  3550.0 0.16 13  — — — LYD618 72624.4 255.7 0.13 14  3592.9 0.03 14   9.9 0.03 7 LYD603 72535.2 — — — 3393.8 0.05 8 — — — LYD603 72536.1 — — — 3318.8 0.17 6 — — — LYD603 72537.7 — — — 3487.5 L 11  — — — LYD572 72388.2 240.6 0.18 8 — — —  9.4 0.25 2 LYD572 72390.3 — — — — — —  9.9 L 7 LYD568 71930.1 240.6 0.16 8 3487.5 L 11   9.7 0.02 5 LYD568 71931.2 — — — 3406.2 0.20 9 — — — LYD568 71931.4 — — — 3581.2 L 14   9.6 0.12 4 LYD561 72175.4 — — — — — —  9.8 L 6 LYD561 72177.1 — — — 3362.5 0.24 7 10.1 0.20 9 LYD561 72179.1 — — — — — —  9.8 0.06 5 LYD551 71986.9 238.1 0.20 6 3312.5 0.11 6 10.0 0.02 8 LYD531 71916.3 — — — 3343.8 0.06 7  9.8 0.26 5 LYD531 71917.1 — — — 3406.2 0.06 9 — — — LYD531 71917.2 — — — 3400.0 0.22 8  9.8 L 6 LYD531 71918.1 258.8 0.08 16  3562.5 0.03 13  10.4 0.09 12  LYD531 71921.2 255.0 0.03 14  3418.8 0.04 9  9.9 0.20 7 LYD528 72310.1 — — — 3325.9 0.08 6 — — — LYD528 72312.4 245.6 0.12 10  3556.2 0.19 13   9.5 0.27 3 LYD522 72716.2 — — — 3456.2 0.27 10  10.1 0.01 9 LYD522 72716.6 274.9 L 23  3799.1 0.12 21  — — — LYD522 72720.1 — — — 3437.5 0.11 10  — — — LYD522 72720.2 241.9 0.12 8 3450.0 0.02 10   9.9 0.03 7 CONT. — 223.6 — — 3138.8 — —  9.3 — — LYD688 73129.1 — — — — — — 11.4 0.30 5 LYD688 73133.1 371.2 0.01 15  4818.8 0.04 11  11.8 0.04 8 LYD688 73133.3 — — — — — — 11.4 0.30 5 LYD688 73133.6 368.1 0.17 14  4987.5 0.01 15  — — — LYD670 73346.2 350.0 0.20 8 4675.0 0.17 7 — — — LYD670 73347.4 — — — 4912.5 0.07 13  — — — LYD670 73348.1 — — — — — — 12.2 0.28 12  LYD670 73350.2 376.2 0.12 16  5050.0 L 16  11.5 0.08 5 LYD662 72008.3 — — — 4637.5 0.17 7 11.8 0.02 8 LYD643 72336.3 354.8 0.10 10  4816.7 0.21 11  — — — LYD629 72198.3 — — — — — — 11.8 0.03 8 LYD623 71972.3 — — — 4575.0 0.28 5 — — — LYD606 72500.2 — — — — — — 11.5 0.10 5 LYD606 72500.5 341.2 0.25 6 — — — — — — LYD599 72266.2 375.0 0.01 16  4831.2 0.04 11  12.1 L 11  LYD594 73307.4 — — — — — — 11.4 0.28 4 LYD562 73484.1 — — — — — — 11.4 0.17 5 LYD562 73484.2 351.2 0.16 9 4781.2 0.06 10  11.5 0.10 5 LYD562 73486.3 350.0 0.13 8 4756.2 0.13 9 — — — LYD562 73489.1 352.5 0.09 9 4687.5 0.13 8 — — — LYD549 73029.2 363.1 0.03 12  4806.2 0.07 10  — — — LYD549 73032.1 — — — — — — 11.5 0.19 5 CONT. — 323.4 — — 4352.3 — — 10.9 — — LYD669 72217.2 — — — 4262.5 0.11 17  — — — LYD660 73929.2 395.6 0.23 30  — — — 11.9 0.17 13  LYD660 73933.5 374.4 0.11 23  4137.5 0.01 13  12.2 0.05 16  LYD654 73924.4 328.8 0.15 8 3875.0 0.29 6 — — — LYD643 72333.1 — — — 3843.8 0.29 5 — — — LYD643 72333.2 — — — — — — 11.0 0.19 4 LYD643 72333.6 — — — 4231.2 0.03 16  — — — LYD643 72336.3 — — — — — — 11.2 0.11 6 LYD634 71995.1 — — — 4012.5 0.07 10  11.4 0.04 8 LYD634 71996.1 — — — 3829.2 0.23 5 — — — LYD634 71996.2 — — — 3931.2 0.19 8 — — — LYD629 72195.1 — — — 4075.0 0.15 12  11.9 L 13  LYD629 72198.3 328.8 0.17 8 — — — 11.4 0.20 8 LYD622 72024.3 — — — 3868.8 0.21 6 — — — LYD614 73916.4 340.6 0.12 12  4231.2 0.04 16  — — — LYD614 73917.1 — — — 4156.2 0.05 14  — — — LYD614 73917.3 337.5 0.18 11  — — — — — — LYD609 73125.4 — — — — — — 11.4 0.09 8 LYD609 73128.5 — — — 3875.0 0.16 6 — — — LYD603 72537.7 330.0 0.13 8 4131.2 0.01 13  — — — LYD584 73915.2 — — — — — — 11.4 0.09 8 LYD584 73915.4 — — — — — — 11.3 0.07 7 LYD580 72188.2 — — — 4237.5 L 16  10.9 0.23 4 LYD580 72189.1 — — — 3837.5 0.23 5 — — — LYD570 71937.3 323.1 0.29 6 4043.8 0.06 11  12.1 0.20 15  LYD561 72177.2 — — — 3868.8 0.21 6 — — — LYD556 72903.5 — — — — — — 11.4 0.09 8 LYD556 72903.6 — — — 4062.5 0.02 11  — — — LYD556 72904.3 — — — 4131.2 0.01 13  — — — LYD534 72409.2 — — — 3912.5 0.15 7 — — — CONT. — 305.2 — — 3651.8 — — 10.6 — — LYD674 72254.1 — — — 3581.2 0.14 8 — — — LYD672 72347.3 — — — — — —  9.6 0.03 6 LYD635 72626.2 — — — 3737.5 0.03 13   9.4 0.21 4 LYD635 72630.1 — — — — — —  9.7 0.01 7 LYD635 72630.2 — — — — — — 10.1 0.06 12  LYD635 72630.4 — — — — — —  9.6 0.02 7 LYD632 72770.2 — — — 3617.9 0.10 9  9.4 0.11 4 LYD627 72765.1 — — — — — — 10.1 L 12  LYD627 72767.1 — — — 3568.8 0.16 8 — — — LYD623 71970.2 — — — — — —  9.9 L 10  LYD623 71972.2 — — — — — —  9.4 0.07 4 LYD623 71972.3 — — — — — —  9.8 0.13 8 LYD623 71974.3 271.9 0.19 15  — — —  9.8 L 8 LYD593 71957.1 — — — 3714.3 0.06 12   9.6 0.13 6 LYD593 71957.5 283.1 0.11 20  — — —  9.3 0.19 3 LYD580 72188.2 — — — — — —  9.9 L 10  LYD580 72189.1 — — — — — —  9.7 0.08 7 LYD580 72189.2 288.8 0.02 22  3793.8 0.02 15   9.9 L 9 LYD571 72357.5 — — — — — —  9.6 0.18 7 LYD571 72358.1 278.1 0.12 18  3675.0 0.06 11  — — — LYD571 72358.3 287.0 0.22 22  3955.4 0.03 20  10.1 L 12  LYD571 72360.2 — — — — — —  9.4 0.07 4 LYD560 71925.1 265.9 0.19 13  — — —  9.5 0.26 5 LYD554 72169.2 — — — — — —  9.6 0.04 7 LYD554 72173.2 — — — — — —  9.6 0.13 6 LYD553 72742.1 — — — — — —  9.6 0.18 7 LYD553 72743.2 — — — — — —  9.3 0.19 3 LYD548 72656.1 — — — — — —  9.6 0.30 6 LYD548 72656.2 — — — — — —  9.5 0.26 5 LYD548 72673.3 — — — — — —  9.5 0.04 5 LYD548 72677.1 276.9 0.28 17  — — — — — — LYD547 71978.3 — — — — — —  9.8 L 9 LYD547 71980.1 — — — — — — 10.0 0.08 11  LYD547 71980.3 — — — 3590.2 0.26 9 — — — LYD547 71981.2 — — — — — — 10.0 L 11  LYD538 72835.2 273.8 0.08 16  3837.5 0.17 16   9.9 0.22 9 LYD538 72835.4 262.9 0.16 11  — — —  9.4 0.18 4 LYD538 72839.1 — — — — — —  9.7 0.23 7 LYD538 72839.5 — — — — — —  9.7 0.08 7 LYD527 72241.3 — — — — — —  9.6 0.30 6 LYD527 72243.4 — — — — — —  9.3 0.19 3 LYD527 72245.2 — — — — — —  9.4 0.18 4 LYD527 72246.3 — — — — — —  9.5 0.08 5 LYD521 72607.1 — — — — — —  9.8 0.13 8 LYD521 72610.2 — — — — — —  9.9 0.22 9 LYD521 72611.3 — — — — — —  9.4 0.21 4 CONT. — 236.0 — — 3306.4 — —  9.0 — — LYD680 72230.2 — — — 3043.8 0.03 15  — — — LYD680 72231.2 281.9 L 30  3675.0 L 39  — — — LYD680 72232.1 275.6 L 27  3568.8 L 35   9.8 0.13 6 LYD678 72787.2 304.4 L 41  3562.5 0.01 35  — — — LYD678 72788.1 — — — 3081.2 0.25 17  — — — LYD678 72790.1 — — — — — —  9.6 0.15 4 LYD674 72254.3 — — — 3387.5 0.17 28  — — — LYD674 72255.1 261.2 0.03 21  3550.0 L 34   9.7 0.04 4 LYD674 72256.3 244.4 0.06 13  — — — — — — LYD664 72015.2 250.6 0.10 16  3455.4 0.16 31  — — — LYD664 72017.7 286.9 L 33  3668.8 L 39   9.6 0.15 4 LYD642 71821.4 275.0 L 27  3662.5 L 39  — — — LYD642 71824.5 — — — — — —  9.7 0.21 4 LYD642 71825.1 270.0 0.03 25  3568.8 L 35  — — — LYD642 71825.3 — — — — — —  9.7 0.04 4 LYD641 72632.2 — — — 2881.2 0.08 9  9.5 0.19 2 LYD641 72633.4 302.5 L 40  3950.0 L 50  — — — LYD641 72635.2 244.4 0.08 13  3256.2 0.01 23  — — — LYD637 73684.1 273.1 L 26  3475.0 L 32  — — — LYD637 73685.1 271.9 0.14 26  3781.2 L 43  — — — LYD637 73685.2 — — — 3231.2 L 22  — — — LYD637 73685.3 262.5 L 21  3293.8 L 25  — — — LYD624 73382.3 — — — 3256.2 0.11 23  — — — LYD624 73385.3 264.9 0.14 22  — — — — — — LYD621 72571.1 — — — — — —  9.8 0.07 5 LYD621 72574.1 245.8 0.19 14  — — — — — — LYD621 72574.3 — — — — — —  9.6 0.06 4 LYD617 71964.2 — — — 3437.5 L 30  — — — LYD617 71966.2 264.4 0.25 22  3525.0 0.06 33  — — — LYD617 71966.6 258.1 L 19  3243.8 L 23   9.5 0.19 2 LYD617 71967.1 244.4 0.03 13  3268.8 L 24  — — — LYD616 73057.1 239.4 0.13 11  2981.2 0.21 13  — — — LYD616 73057.4 — — — 3425.0 L 30   9.5 0.19 2 LYD616 73058.4 265.6 L 23  3425.0 L 30  — — — LYD616 73059.1 — — — 3475.0 0.09 32  — — — LYD616 73059.4 — — — — — —  9.6 0.12 3 LYD588 73852.1 233.8 0.15 8 — — — — — — LYD588 73852.2 241.9 0.14 12  3062.5 0.01 16  — — — LYD572 72387.1 258.1 L 19  3381.2 L 28  — — — LYD572 72390.3 276.2 L 28  3625.0 L 37  — — — LYD567 72495.3 255.6 0.20 18  3637.5 0.08 38  — — — LYD567 72495.4 — — — — — — 10.0 0.28 8 LYD567 72496.2 — — — — — —  9.5 0.19 2 LYD567 72496.3 259.4 0.04 20  3518.8 0.01 33  — — — LYD559 73623.3 — — — 3412.5 0.22 29  — — — LYD559 73624.1 — — — — — —  9.6 0.15 4 LYD559 73626.1 — — — 2916.1 0.29 10  — — — LYD538 72835.4 260.0 L 20  3281.2 L 24   9.8 0.07 5 LYD537 73628.1 279.4 0.02 29  3631.2 L 37  — — — LYD537 73633.1 265.6 0.01 23  3212.5 L 22  — — — LYD537 73633.4 238.3 0.06 10  2902.1 0.08 10  — — — LYD537 73633.5 248.8 0.12 15  2981.2 0.02 13  — — — LYD521 72607.1 277.5 L 28  3368.8 L 28  — — — LYD521 72610.1 240.0 0.05 11  3043.8 0.03 15   9.8 0.27 5 LYD521 72610.2 — — — — — —  9.6 0.06 4 LYD521 72611.1 241.2 0.04 12  — — —  9.7 0.04 4 LYD521 72611.3 294.4 L 36  3406.2 L 29  — — — CONT. — 216.3 — — 2641.6 — —  9.3 — — LYD689 72711.2 — — — 5537.5 0.02 12  10.6 0.05 5 LYD689 72712.3 465.0 0.01 17  5575.0 0.11 13  — — — LYD689 72713.1 446.2 0.26 12  5656.2 0.04 15  10.4 0.16 3 LYD682 72566.2 460.6 0.05 16  5618.8 0.02 14  — — — LYD682 72568.2 474.3 L 19  5596.4 0.01 13  — — — LYD677 72223.6 — — — — — — 10.8 0.18 8 LYD677 72223.7 461.1 0.04 16  5209.8 0.21 6 — — — LYD677 72227.1 — — — — — — 10.5 0.27 4 LYD669 73327.1 471.4 0.09 19  5750.0 L 17  10.9 0.25 9 LYD666 72394.3 — — — 5631.2 0.01 14  — — — LYD657 72400.1 453.8 0.29 14  5868.8 0.01 19  — — — LYD657 72400.3 426.4 0.19 7 5291.1 0.13 7 — — — LYD657 72401.1 421.9 0.27 6 5293.8 0.12 7 — — — LYD620 73063.3 — — — 5291.1 0.19 7 — — — LYD620 73066.3 — — — 5262.5 0.30 7 10.6 0.14 5 LYD602 72613.1 — — — 5443.8 0.04 10  — — — LYD602 72613.2 429.3 0.17 8 — — — — — — LYD598 72421.1 — — — 5250.0 0.28 6 — — — LYD598 72446.4 446.9 0.09 12  5187.5 0.24 5 — — — LYD595 72907.4 — — — — — — 10.5 0.07 4 LYD595 72907.5 434.4 0.16 9 5743.8 L 16  — — — LYD574 73118.3 447.5 0.22 13  5300.0 0.12 7 — — — LYD574 73118.4 — — — 5237.5 0.18 6 — — — LYD574 73119.1 463.8 0.25 17  5525.0 0.05 12  10.9 0.22 8 LYD574 73121.2 461.0 0.28 16  5226.8 0.22 6 10.3 0.26 3 LYD574 73122.3 466.9 0.15 17  5881.2 L 19  — — — LYD562 73484.2 — — — — — — 10.7 0.02 6 LYD549 73029.1 — — — — — — 10.3 0.26 3 LYD549 73029.4 457.1 0.02 15  — — — — — — LYD549 73032.1 424.8 0.20 7 — — — — — — LYD549 73032.2 — — — 5481.2 0.06 11  — — — LYD542 72733.2 425.6 0.25 7 5425.0 0.04 10  — — — LYD542 72735.4 426.7 0.23 7 5600.0 0.01 13  10.3 0.26 3 LYD542 72736.3 423.8 0.29 7 — — — — — — LYD542 72736.4 — — — — — — 10.6 0.03 6 LYD542 72736.7 433.0 0.11 9 5530.4 0.02 12  — — — LYD536 72531.3 424.4 0.24 7 5493.8 0.07 11  — — — LYD533 72726.2 — — — 5268.8 0.18 7 — — — CONT. — 397.4 — — 4934.9 — — 10.1 — — LYD688 73133.1 449.2 0.02 11  5805.4 0.08 5 — — — LYD688 73134.6 455.0 0.07 13  5831.2 0.03 6 10.5 0.02 7 LYD681 73184.1 — — — — — — 10.6 L 8 LYD681 73184.3 — — — — — — 10.4 0.11 6 LYD681 73186.2 — — — 5762.5 0.06 5 10.5 0.02 7 LYD675 72644.1 435.0 0.02 8 5893.8 0.01 7 11.1 0.12 13  LYD675 72644.3 — — — — — — 10.4 0.04 6 LYD675 72648.1 460.0 0.15 14  — — — — — — LYD671 72877.1 427.5 0.21 6 — — — — — — LYD671 72878.2 425.0 0.25 5 — — — — — — LYD671 72879.2 464.4 0.29 15  5862.5 0.13 6 — — — LYD665 72216.5 435.6 0.29 8 — — — — — — LYD665 72216.6 426.9 0.06 6 — — — — — — LYD652 72559.1 — — — — — — 10.1 0.17 3 LYD652 72560.1 — — — 5817.0 0.03 6 — — — LYD651 73021.3 451.2 0.10 12  6031.2 L 10  — — — LYD648 72831.3 420.0 0.23 4 — — — — — — LYD648 72832.2 442.2 0.02 10  — — — — — — LYD644 72775.1 476.6 L 18  5875.9 0.01 7 — — — LYD644 72778.1 420.6 0.11 4 — — — — — — LYD644 72778.2 421.3 0.28 4 — — — — — — LYD639 72548.4 — — — — — — 10.0 0.20 2 LYD639 72549.3 — — — — — — 10.2 0.08 4 LYD639 72551.3 440.6 L 9 — — — — — — LYD596 73635.1 — — — 5756.2 0.06 5 — — — LYD596 73635.3 — — — 5700.0 0.15 4 — — — LYD596 73636.1 453.6 0.25 12  — — — — — — LYD596 73637.1 440.0 0.18 9 6206.2 L 13  — — — LYD594 73303.1 416.2 0.21 3 — — — — — — LYD594 73307.1 462.5 0.21 15  6068.8 0.11 10  — — — LYD594 73307.3 434.4 0.02 8 — — — — — — LYD594 73307.4 475.0 0.08 18  — — — 10.2 0.03 4 LYD577 72747.4 481.2 L 19  — — — — — — LYD577 72748.2 — — — — — — 10.1 0.17 3 LYD577 72748.3 — — — — — — 10.2 0.24 4 LYD577 72750.4 430.0 0.06 7 — — — — — — LYD545 72506.2 448.8 L 11  5956.2 L 8 — — — LYD545 72508.2 429.2 0.10 6 — — — — — — LYD545 72508.5 428.8 0.19 6 — — — — — — LYD541 72729.1 432.3 0.25 7 — — — — — — LYD541 72729.2 439.4 0.15 9 — — — — — — LYD541 72732.1 452.7 0.03 12  — — — — — — LYD534 72409.2 — — — — — — 10.2 0.24 4 LYD534 72414.3 — — — — — — 10.1 0.05 3 LYD522 72715.2 474.4 0.23 18  — — — — — — LYD522 72720.1 — — — — — — 10.2 0.03 4 CONT. — 403.4 — — 5506.6 — —  9.8 — — Table 61. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L - p < 0.01. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4111). “—” = results are still unavailable.

TABLE 62 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Plot Coverage Rosette Area Rosette Diameter [cm²] [cm²] [cm] Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYD684 72271.4 — — — — — — 4.8 0.24 7 LYD684 72272.3 57.6 0.17  9 7.2 0.17  9 — — — LYD684 72274.1 73.6 0.13 39 9.2 0.13 39 5.1 0.14 13  LYD681 73188.3 62.4 0.24 18 7.8 0.24 18 4.8 0.22 6 LYD667 72030.4 58.0 0.22  9 7.2 0.22  9 — — — LYD661 72325.1 63.0 L 19 7.9 L 19 4.9 0.07 7 LYD661 72328.1 70.3 L 32 8.8 L 32 5.1 0.01 14  LYD661 72328.2 67.7 0.04 28 8.5 0.04 28 5.1 0.12 13  LYD651 73026.4 60.2 0.11 13 7.5 0.11 13 — — — LYD626 72002.1 — — — — — — 4.8 0.27 7 LYD626 72003.1 — — — — — — 4.9 0.14 9 LYD620 73066.3 67.2 L 26 8.4 L 26 5.1 L 13  LYD617 71964.2 58.2 0.12 10 7.3 0.12 10 4.8 0.22 6 LYD617 71966.3 56.1 0.28  6 7.0 0.28  6 — — — LYD617 71966.6 70.1 L 32 8.8 L 32 5.0 L 11  LYD612 71818.3 58.0 0.08  9 7.3 0.08  9 4.7 0.12 5 LYD609 73125.3 61.6 0.28 16 7.7 0.28 16 4.9 0.22 7 LYD609 73125.4 61.1 0.08 15 7.6 0.08 15 4.8 0.14 5 LYD609 73128.5 59.9 0.23 13 7.5 0.23 13 4.9 0.05 7 LYD596 73635.1 — — — — — — 5.1 0.02 12  LYD596 73639.1 61.5 0.08 16 7.7 0.08 16 5.1 0.03 12  LYD593 71952.1 62.5 0.26 18 7.8 0.26 18 — — — LYD593 71952.2 58.4 0.06 10 7.3 0.06 10 4.7 0.28 4 LYD593 71957.5 58.9 0.05 11 7.4 0.05 11 — — — LYD574 73118.4 70.3 L 32 8.8 L 32 5.1 L 13  LYD574 73119.1 58.2 0.17 10 7.3 0.17 10 — — — LYD564 72182.4 62.0 0.17 17 7.8 0.17 17 — — — LYD564 72182.5 56.0 0.26  5 7.0 0.26  5 — — — LYD558 73112.3 71.0 0.07 34 8.9 0.07 34 5.2 L 15  LYD558 73113.1 60.3 0.02 14 7.5 0.02 14 4.7 0.19 4 LYD558 73114.3 58.1 0.21  9 7.3 0.21  9 — — — LYD558 73114.6 58.5 0.17 10 7.3 0.17 10 4.7 0.19 4 LYD527 72246.1 56.0 0.27  5 7.0 0.27  5 — — — LYD527 72246.3 67.2 0.29 26 8.4 0.29 26 — — — LYD526 72164.5 63.0 L 19 7.9 L 19 4.9 0.01 9 LYD526 72167.4 67.9 0.10 28 8.5 0.10 28 5.1 0.03 13  LYD526 72168.1 59.6 0.06 12 7.5 0.06 12 4.8 0.25 6 LYD526 72168.4 64.1 L 21 8.0 L 21 4.9 0.02 9 CONT. — 53.1 — — 6.6 — — 4.5 — — LYD680 72232.1 53.7 0.29 16 6.7 0.29 16 — — — LYD664 72012.1 52.0 0.02 12 6.5 0.02 12 4.3 0.11 4 LYD664 72015.2 54.4 0.29 17 6.8 0.29 17 4.5 0.25 8 LYD661 72325.1 54.7 0.25 18 6.8 0.25 18 4.4 0.28 6 LYD661 72328.2 57.9 0.01 25 7.2 0.01 25 4.5 0.06 8 LYD657 72401.1 50.7 0.02  9 6.3 0.02  9 — — — LYD642 71820.2 49.8 0.14  7 6.2 0.14  7 4.4 0.10 6 LYD642 71821.4 51.0 0.02 10 6.4 0.02 10 4.5 0.01 7 LYD642 71824.5 64.5 0.08 39 8.1 0.08 39 4.9 0.06 17  LYD642 71825.1 48.2 0.25  4 6.0 0.25  4 — — — LYD631 72544.4 54.4 0.20 17 6.8 0.20 17 4.5 0.09 8 LYD621 72571.1 53.2 L 15 6.7 L 15 4.5 L 9 LYD618 72621.2 57.2 0.20 23 7.1 0.20 23 4.6 0.29 10  LYD618 72622.2 49.8 0.23  7 6.2 0.23  7 — — — LYD572 72390.3 54.2 L 17 6.8 L 17 4.5 0.04 8 LYD568 71930.1 57.5 0.22 24 7.2 0.22 24 4.7 0.13 13  LYD568 71931.4 53.7 0.01 16 6.7 0.01 16 4.4 0.12 7 LYD561 72177.1 51.2 0.01 10 6.4 0.01 10 4.3 0.14 4 LYD551 71984.1 50.0 0.27  8 6.2 0.27  8 — — — LYD551 71986.9 52.7 L 14 6.6 L 14 4.4 0.15 5 LYD531 71917.1 52.2 0.10 13 6.5 0.10 13 4.6 0.01 9 LYD531 71917.2 52.6 0.17 13 6.6 0.17 13 4.4 0.10 5 LYD531 71918.1 59.7 0.15 29 7.5 0.15 29 4.7 0.03 13  LYD531 71921.2 — — — — — — 4.4 0.21 5 LYD528 72312.2 49.5 0.08  7 6.2 0.08  7 4.3 0.16 3 LYD522 72715.2 48.9 0.13  6 6.1 0.13  6 4.3 0.21 3 LYD522 72720.1 51.5 0.29 11 6.4 0.29 11 — — — LYD522 72720.2 53.8 0.12 16 6.7 0.12 16 — — — CONT. — 46.4 — — 5.8 — — 4.2 — — LYD688 73129.1 74.6 0.07 22 9.3 0.07 22 5.4 0.05 13  LYD688 73133.1 75.8 0.03 24 9.5 0.03 24 5.3 0.04 10  LYD688 73133.3 — — — — — — 5.2 0.27 8 LYD688 73133.6 67.7 0.26 11 8.5 0.26 11 — — — LYD670 73346.2 70.3 0.17 15 8.8 0.17 15 5.2 0.08 9 LYD670 73347.4 — — — — — — 5.1 0.20 5 LYD670 73348.1 77.6 0.22 27 9.7 0.22 27 5.4 0.10 11  LYD662 72008.3 74.8 0.04 22 9.4 0.04 22 5.5 L 14  LYD646 73040.5 — — — — — — 5.0 0.24 5 LYD646 73042.4 75.7 0.07 24 9.5 0.07 24 5.4 0.09 13  LYD643 72336.3 72.6 0.07 19 9.1 0.07 19 5.3 0.07 9 LYD643 72336.6 72.1 0.12 18 9.0 0.12 18 5.3 0.03 10  LYD629 72198.3 72.8 0.07 19 9.1 0.07 19 5.3 0.15 10  LYD623 71972.3 70.0 0.15 15 8.8 0.15 15 5.2 0.10 7 LYD622 72026.1 68.2 0.26 12 8.5 0.26 12 5.1 0.17 6 LYD599 72266.2 81.3 0.04 33 10.2  0.04 33 5.5 0.11 15  LYD594 73307.4 71.2 0.22 16 8.9 0.22 16 5.2 0.26 8 LYD562 73484.1 71.5 0.15 17 8.9 0.15 17 5.2 0.29 8 LYD562 73484.2 74.9 0.10 23 9.4 0.10 23 5.4 0.08 12  LYD562 73486.3 — — — — — — 5.1 0.12 7 LYD551 71986.9 71.9 0.08 18 9.0 0.08 18 5.4 0.02 12  LYD549 73029.4 — — — — — — 5.3 0.06 11  LYD549 73032.1 — — — — — — 5.3 0.03 10  LYD528 72312.4 — — — — — — 5.2 0.10 8 CONT. — 61.1 — — 7.6 — — 4.8 — — LYD669 73330.2 65.0 0.19 11 8.1 0.19 11 — — — LYD660 73929.2 70.6 0.05 21 8.8 0.05 21 4.9 0.25 9 LYD660 73933.4 — — — — — — 4.8 0.05 7 LYD660 73933.5 78.5 L 34 9.8 L 34 5.2 L 16  LYD654 73924.5 — — — — — — 4.9 0.04 9 LYD654 73926.3 63.7 0.20  9 8.0 0.20  9 4.8 0.11 6 LYD643 72336.3 67.8 0.08 16 8.5 0.08 16 4.8 0.24 8 LYD634 71995.1 64.0 0.13  9 8.0 0.13  9 — — — LYD629 72195.1 69.2 0.05 18 8.7 0.05 18 — — — LYD629 72198.2 65.7 0.15 12 8.2 0.15 12 4.8 0.08 6 LYD629 72198.3 73.0 0.02 25 9.1 0.02 25 4.9 0.02 9 LYD629 72198.5 65.6 0.17 12 8.2 0.17 12 — — — LYD614 73916.4 68.0 0.02 16 8.5 0.02 16 4.8 0.18 6 LYD614 73916.5 — — — — — — 5.0 0.28 10  LYD614 73917.3 63.0 0.20  8 7.9 0.20  8 — — — LYD609 73125.4 63.8 0.15  9 8.0 0.15  9 4.8 0.11 6 LYD584 73912.3 — — — — — — 4.7 0.14 5 LYD584 73915.2 66.8 0.15 14 8.3 0.15 14 4.8 0.28 8 LYD584 73915.4 68.4 0.02 17 8.5 0.02 17 4.8 0.05 7 LYD580 72188.2 67.7 0.03 16 8.5 0.03 16 4.8 0.12 7 LYD570 71937.3 71.1 L 22 8.9 L 22 4.9 0.08 9 LYD561 72177.2 — — — — — — 4.9 0.26 10  LYD556 72903.5 — — — — — — 4.7 0.27 4 LYD534 72414.4 62.8 0.22  7 7.9 0.22  7 — — — CONT. — 58.5 — — 7.3 — — 4.5 — — LYD672 72348.2 — — — — — — 4.1 0.06 7 LYD635 72626.2 44.4 0.02 13 5.5 0.02 13 4.0 0.02 6 LYD632 72771.1 45.1 0.07 15 5.6 0.07 15 4.1 0.01 7 LYD632 72774.3 — — — — — — 4.1 0.12 7 LYD632 72774.4 42.8 0.25  9 5.3 0.25  9 — — — LYD627 72766.1 44.0 0.09 12 5.5 0.09 12 4.0 0.25 5 LYD627 72767.1 — — — — — — 4.2 0.25 11  LYD593 71957.5 42.8 0.05  9 5.3 0.05  9 4.0 0.06 5 LYD580 72188.2 44.2 0.10 12 5.5 0.10 12 — — — LYD571 72357.5 47.7 L 21 6.0 L 21 4.1 L 8 LYD571 72358.1 47.9 L 22 6.0 L 22 4.2 L 11  LYD571 72358.3 54.2 0.20 38 6.8 0.20 38 4.4 0.18 17  LYD571 72358.4 46.7 0.08 19 5.8 0.08 19 4.1 0.19 8 LYD554 72174.4 45.3 0.18 15 5.7 0.18 15 — — — LYD553 72741.2 44.2 0.15 12 5.5 0.15 12 4.1 0.03 6 LYD548 72656.2 — — — — — — 4.0 0.13 4 LYD548 72677.1 43.9 0.27 12 5.5 0.27 12 — — — LYD547 71980.1 47.4 L 20 5.9 L 20 — — — LYD538 72835.2 52.6 L 34 6.6 L 34 4.5 0.07 18  LYD538 72835.4 41.7 0.06  6 5.2 0.06  6 — — — LYD538 72839.5 41.4 0.10  5 5.2 0.10  5 — — — LYD527 72246.3 44.2 L 12 5.5 L 12 4.2 L 10  LYD521 72610.2 42.6 0.02  8 5.3 0.02  8 — — — CONT. — 39.4 — — 4.9 — — 3.8 — — LYD680 72231.2 — — — — — — 3.4 0.26 5 LYD680 72232.1 32.4 0.11 11 4.0 0.11 11 — — — LYD680 72232.4 31.3 0.29  7 3.9 0.29  7 3.6 0.07 9 LYD678 72787.2 32.1 0.13 10 4.0 0.13 10 — — — LYD678 72790.1 33.7 0.15 16 4.2 0.15 16 3.5 0.07 6 LYD664 72016.2 — — — — — — 3.4 0.23 4 LYD664 72017.7 35.1 0.06 20 4.4 0.06 20 3.5 0.11 8 LYD642 71824.5 33.3 0.05 14 4.2 0.05 14 3.7 L 13  LYD642 71825.1 31.4 0.22  8 3.9 0.22  8 3.4 0.16 4 LYD641 72632.2 31.4 0.24  8 3.9 0.24  8 — — — LYD641 72633.4 41.0 0.11 41 5.1 0.11 41 3.9 0.08 19  LYD637 73683.1 32.6 0.17 12 4.3 0.02 19 3.6 0.01 11  LYD637 73685.3 — — — — — — 3.4 0.12 5 LYD624 73382.4 — — — — — — 3.6 0.02 10  LYD621 72571.1 32.2 0.11 11 4.0 0.11 11 3.5 0.03 8 LYD621 72573.6 32.3 0.11 11 4.0 0.11 11 3.5 0.24 6 LYD621 72574.3 32.5 0.09 12 4.1 0.09 12 3.5 0.08 6 LYD617 71966.6 — — — — — — 3.4 0.28 4 LYD616 73058.4 36.6 L 26 4.6 L 26 3.6 0.02 10  LYD616 73059.4 — — — — — — 3.5 0.14 6 LYD588 73855.2 35.1 0.23 20 4.4 0.23 20 3.6 0.20 12  LYD588 73855.3 32.5 0.14 11 4.1 0.14 11 3.5 0.04 8 LYD567 72495.3 — — — — — — 3.4 0.19 4 LYD567 72495.4 31.6 0.19  9 4.0 0.19  9 3.4 0.11 5 LYD567 72496.3 32.4 0.09 11 4.1 0.09 11 3.4 0.11 5 LYD559 73624.1 32.6 0.08 12 4.1 0.08 12 3.5 0.09 6 LYD538 72839.2 31.8 0.15  9 4.0 0.15  9 — — — LYD537 73630.3 — — — — — — 3.5 0.12 8 LYD521 72611.1 32.0 0.21 10 4.0 0.21 10 — — — LYD521 72611.3 33.0 0.28 13 4.1 0.28 13 3.5 0.19 7 CONT. — 29.1 — — 3.6 — — 3.3 — — LYD689 72711.2 58.6 0.29 10 7.3 0.29 10 — — — LYD689 72713.1 64.0 0.03 20 8.0 0.03 20 5.0 0.02 8 LYD682 72566.2 60.5 0.24 14 7.6 0.24 14 — — — LYD677 72223.6 64.3 0.03 21 8.0 0.03 21 4.9 0.05 7 LYD669 72217.2 61.8 0.06 16 7.7 0.06 16 4.9 0.04 8 LYD669 73330.1 64.3 0.29 21 8.0 0.29 21 — — — LYD666 72394.3 64.7 L 22 8.1 L 22 5.0 0.02 9 LYD666 72396.2 60.8 0.04 14 7.6 0.04 14 4.8 0.15 6 LYD650 72640.1 57.3 0.18  8 7.2 0.18  8 4.7 0.26 3 LYD620 73066.3 65.2 0.12 23 8.1 0.12 23 5.1 0.08 11  LYD620 73068.2 58.0 0.14  9 7.3 0.14  9 — — — LYD602 72613.1 58.5 0.10 10 7.3 0.10 10 4.8 0.14 5 LYD598 72421.1 62.7 0.01 18 7.8 0.01 18 4.9 0.09 8 LYD598 72445.1 62.0 0.13 17 7.8 0.13 17 4.9 0.14 6 LYD598 72446.4 61.4 0.02 16 7.7 0.02 16 4.9 0.05 7 LYD574 73118.4 — — — — — — 5.0 0.05 9 LYD574 73119.1 67.1 0.04 26 8.4 0.04 26 5.0 0.07 9 LYD562 73484.2 62.5 0.27 18 7.8 0.27 18 — — — LYD562 73489.4 65.4 L 23 8.2 L 23 5.0 0.28 8 LYD549 73029.4 63.4 0.06 19 7.9 0.06 19 4.9 0.06 6 CONT. — 53.1 — — 6.6 — — 4.6 — — LYD688 73129.1 — — — — — — 4.6 0.27 9 LYD688 73133.1 68.7 L 45 8.6 L 45 5.2 L 24  LYD688 73134.6 62.9 0.13 33 7.9 0.13 33 4.9 L 16  LYD681 73184.1 58.5 L 24 7.3 L 24 4.7 L 11  LYD681 73184.2 56.7 0.27 20 7.1 0.27 20 4.7 0.09 12  LYD681 73184.3 55.2 0.02 17 6.9 0.02 17 4.5 0.04 7 LYD681 73186.2 58.5 0.21 24 7.3 0.21 24 4.8 0.19 13  LYD681 73188.3 54.6 0.20 15 6.8 0.20 15 4.6 0.04 8 LYD675 72644.1 64.2 0.12 36 8.0 0.12 36 4.9 0.07 16  LYD675 72644.3 59.0 L 25 7.4 L 25 4.7 0.01 12  LYD671 72878.2 54.3 0.16 15 6.8 0.16 15 4.6 0.09 8 LYD665 72216.5 — — — — — — 4.6 0.07 8 LYD652 72559.1 53.6 0.05 13 6.7 0.05 13 4.7 0.14 11  LYD652 72560.1 53.6 0.05 13 6.7 0.05 13 4.5 0.12 6 LYD652 72563.1 51.9 0.26 10 6.5 0.26 10 4.4 0.16 5 LYD651 73021.3 57.4 L 21 7.2 L 21 4.7 L 11  LYD651 73021.5 55.3 0.02 17 6.9 0.02 17 4.6 0.01 9 LYD651 73026.4 55.9 0.18 18 7.0 0.18 18 4.6 0.09 10  LYD648 72834.1 — — — — — — 4.4 0.22 5 LYD644 72775.1 55.7 0.10 18 7.0 0.10 18 4.6 0.02 9 LYD639 72548.4 — — — — — — 4.7 0.22 11  LYD639 72549.3 52.6 0.10 11 6.6 0.10 11 4.5 0.11 7 LYD596 73635.1 — — — — — — 4.4 0.22 4 LYD596 73637.1 50.7 0.26  7 6.3 0.26  7 4.6 0.02 9 LYD594 73307.1 57.6 0.19 22 7.2 0.19 22 4.9 0.18 15  LYD594 73307.4 56.0 0.12 19 7.0 0.12 19 4.6 0.06 8 LYD577 72745.4 — — — — — — 4.5 0.17 7 LYD577 72748.3 57.1 0.11 21 7.1 0.11 21 4.8 0.14 13  LYD545 72506.2 — — — — — — 4.6 0.13 8 LYD545 72508.5 50.6 0.25  7 6.3 0.25  7 4.4 0.21 4 LYD541 72729.1 52.6 0.18 11 6.6 0.18 11 4.5 0.06 7 LYD534 72409.1 59.7 0.29 26 7.5 0.29 26 4.9 0.11 16  LYD534 72414.3 55.1 0.06 17 6.9 0.06 17 4.6 0.15 8 LYD524 72859.3 57.6 L 22 7.2 L 22 4.8 L 14  LYD524 72864.4 — — — — — — 4.5 0.11 5 LYD522 72716.2 — — — — — — 4.7 0.10 11  CONT. — 47.3 — — 5.9 — — 4.2 — — Table 62. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L- p < 0.01. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4111). “—” = results are still unavailable.

TABLE 63 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter RGR Of Leaf RGR Of Plot RGR Of Rosette Number Coverage Diameter (number/day) (cm²/day) (cm/day) Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYD684 72274.1 — — — 8.6 0.02 39 0.4 0.17 15 LYD681 73186.2 — — — 7.6 0.16 23 — — — LYD681 73188.3 — — — 7.2 0.23 18 — — — LYD672 72347.3 — — — 7.6 0.20 24 — — — LYD667 72030.1 — — — 7.2 0.26 17 — — — LYD661 72325.1 0.7 0.13 21 7.3 0.19 19 — — — LYD661 72328.1 — — — 8.4 0.02 37 0.4 0.23 13 LYD661 72328.2 — — — 7.8 0.08 27 — — — LYD626 72002.1 0.7 0.29 16 — — — — — — LYD626 72003.1 — — — — — — 0.4 0.27 13 LYD620 73066.3 0.7 0.25 15 7.8 0.07 27 0.4 0.21 13 LYD620 73066.5 0.7 0.10 22 — — — — — — LYD617 71966.6 0.7 0.11 21 8.2 0.03 34 0.4 0.24 13 LYD617 71967.1 0.7 0.23 16 — — — — — — LYD609 73124.4 0.7 0.28 15 8.0 0.08 29 0.4 0.29 12 LYD609 73125.3 — — — 7.3 0.24 18 — — — LYD609 73125.4 0.7 0.18 18 7.2 0.25 17 — — — LYD596 73639.1 — — — 7.2 0.22 18 — — — LYD593 71952.1 — — — 7.3 0.21 19 — — — LYD593 71952.2 0.7 0.27 15 — — — — — — LYD574 73118.3 — — — 7.3 0.24 19 — — — LYD574 73118.4 — — — 8.2 0.03 33 — — — LYD574 73122.3 — — — 7.2 0.28 17 — — — LYD564 72182.4 — — — 7.1 0.28 16 — — — LYD564 72184.1 — — — 7.8 0.17 26 — — — LYD558 73112.3 — — — 8.2 0.03 33 0.4 0.25 13 LYD558 73113.1 — — — 7.1 0.26 16 — — — LYD558 73114.3 0.7 0.12 21 — — — — — — LYD527 72246.3 — — — 7.8 0.09 26 — — — LYD526 72164.5 — — — 7.3 0.22 18 — — — LYD526 72167.4 — — — 8.1 0.03 31 — — — LYD526 72168.1 0.7 0.19 17 — — — — — — LYD526 72168.4 — — — 7.4 0.16 21 — — — CONT. — 0.6 — — 6.2 — — 0.4 — — LYD680 72232.1 0.7 0.28 13 6.6 0.19 15 0.4 0.12 13 LYD668 72023.3 — — — 7.1 0.07 24 — — — LYD664 72012.1 — — — 6.5 0.27 12 — — — LYD664 72015.2 — — — 6.7 0.14 17 0.4 0.16 11 LYD661 72325.1 — — — 6.7 0.17 16 — — — LYD661 72328.2 — — — 7.2 0.04 24 — — — LYD642 71820.2 — — — — — — 0.4 0.26  9 LYD642 71821.4 0.7 0.23 14 — — — 0.4 0.11 12 LYD642 71824.5 0.7 0.09 21 8.0 L 38 0.4 0.01 20 LYD642 71825.1 0.7 0.16 17 — — — — — — LYD631 72544.4 — — — 6.6 0.18 15 — — — LYD621 72571.1 — — — 6.5 0.22 13 0.4 0.21 10 LYD621 72574.3 0.7 0.29 13 — — — — — — LYD618 72621.2 — — — 7.1 0.04 24 0.4 0.10 13 LYD572 72390.3 — — — 6.8 0.13 17 0.4 0.09 13 LYD568 71930.1 — — — 7.2 0.04 25 0.4 0.03 17 LYD568 71931.4 — — — 6.7 0.15 16 0.4 0.27  8 LYD568 71932.2 0.7 0.27 13 — — — — — — LYD561 72175.4 — — — 6.7 0.15 17 — — — LYD561 72177.1 0.7 0.27 13 — — — — — — LYD561 72177.2 — — — 6.8 0.12 19 0.4 0.25  9 LYD561 72179.1 — — — 6.6 0.19 15 — — — LYD551 71986.9 — — — 6.6 0.18 14 0.4 0.26  8 LYD531 71916.3 0.7 0.29 13 — — — — — — LYD531 71917.1 — — — 6.4 0.29 12 0.4 0.07 14 LYD531 71918.1 — — — 7.3 0.03 27 0.4 0.08 13 LYD531 71921.2 — — — 6.4 0.30 12 — — — LYD528 72312.4 0.7 0.22 15 — — — — — — LYD522 72715.2 — — — — — — 0.4 0.24  8 LYD522 72716.6 — — — 6.6 0.23 14 0.4 0.18 11 LYD522 72720.1 — — — — — — 0.4 0.27  8 LYD522 72720.2 0.7 0.21 15 6.7 0.15 16 — — — CONT. — 0.6 — — 5.8 — — 0.3 — — LYD688 73129.1 — — — 8.7 0.27 22 — — — LYD688 73133.1 — — — 8.8 0.23 24 — — — LYD670 73348.1 — — — 9.1 0.19 27 — — — LYD662 72008.3 — — — 8.7 0.26 22 — — — LYD646 73042.4 — — — 8.7 0.30 21 — — — LYD599 72266.2 — — — 9.4 0.13 31 — — — LYD562 73484.2 — — — 8.8 0.25 23 — — — CONT. — — — — 7.2 — — — — — LYD660 73929.2 0.8 0.09 21 8.5 0.14 21 — — — LYD660 73933.5 0.8 0.30 14 9.4 0.03 34 0.4 0.18 15 LYD629 72195.1 0.8 0.13 20 8.2 0.22 18 — — — LYD629 72198.3 — — — 8.7 0.09 25 — — — LYD614 73916.4 — — — 8.1 0.27 16 — — — LYD614 73916.5 — — — 8.2 0.26 17 0.4 0.18 16 LYD609 73128.5 — — — 8.4 0.21 19 0.4 0.13 19 LYD584 73915.4 — — — 8.1 0.25 16 — — — LYD570 71937.3 0.8 0.16 18 8.5 0.15 21 — — — LYD561 72177.2 — — — — — — 0.4 0.28 13 CONT. — 0.7 — — 7.0 — — 0.3 — — LYD672 72348.2 — — — — — — 0.3 0.18 10 LYD635 72626.2 — — — 5.5 0.17 14 0.3 0.07 12 LYD632 72770.2 — — — 5.7 0.10 19 0.3 0.17 11 LYD632 72771.1 — — — 5.6 0.11 17 0.3 0.07 13 LYD632 72774.4 — — — 5.3 0.27 11 — — — LYD627 72765.1 — — — 6.0 0.04 25 — — — LYD627 72766.1 — — — 5.4 0.20 13 — — — LYD627 72767.1 — — — 5.8 0.06 22 0.3 0.08 14 LYD623 71970.2 0.7 0.21 21 — — — — — — LYD623 71974.3 0.7 0.28 18 — — — — — — LYD580 72188.2 — — — 5.4 0.24 12 — — — LYD580 72189.2 — — — 5.5 0.16 15 0.3 0.06 14 LYD571 72357.5 — — — 5.9 0.04 23 0.3 0.09 11 LYD571 72358.1 — — — 5.9 0.04 22 0.3 0.05 14 LYD571 72358.3 — — — 6.7 L 39 0.4 0.02 18 LYD571 72358.4 — — — 5.7 0.06 20 0.3 0.29  7 LYD560 71925.1 — — — 6.2 0.02 28 0.3 0.16 12 LYD554 72174.4 — — — 5.6 0.11 17 — — — LYD553 72741.2 — — — 5.4 0.20 13 0.3 0.22  8 LYD553 72741.3 — — — — — — 0.3 0.22 10 LYD548 72656.1 — — — 5.7 0.07 19 0.3 0.13 12 LYD548 72677.1 — — — 5.4 0.20 13 — — — LYD547 71980.1 — — — 5.8 0.04 21 — — — LYD538 72835.2 — — — 6.4 L 33 0.4 L 20 LYD527 72241.3 — — — 5.4 0.21 13 — — — LYD527 72245.2 — — — 5.5 0.19 14 — — — LYD527 72246.3 — — — 5.4 0.24 12 0.3 0.06 14 LYD521 72610.1 — — — 5.8 0.07 20 0.3 0.22 10 CONT. — 0.6 — — 4.8 — — 0.3 — — LYD678 72790.1 — — — 4.2 0.27 16 — — — LYD664 72017.7 — — — 4.4 0.17 21 — — — LYD641 72633.4 — — — 5.0 0.01 39 0.3 0.15 14 LYD641 72635.2 0.7 0.23 14 — — — — — — LYD624 73382.4 — — — — — — 0.3 0.27 10 LYD616 73058.4 — — — 4.5 0.09 25 — — — LYD588 73855.2 — — — 4.4 0.18 21 — — — LYD567 72495.4 0.7 0.29 14 — — — — — — LYD559 73624.1 0.7 0.22 14 — — — — — — LYD538 72835.4 0.7 0.28 13 — — — 0.3 0.25 11 LYD537 73630.3 — — — — — — 0.3 0.22 12 LYD521 72607.1 — — — 4.3 0.21 19 — — — CONT. — 0.6 — — 3.6 — — 0.3 — — LYD689 72713.1 — — — 7.5 0.23 19 — — — LYD682 72568.2 0.7 0.28 14 — — — — — — LYD677 72223.6 — — — 7.6 0.19 21 — — — LYD669 72217.2 — — — 7.4 0.24 18 — — — LYD669 73327.1 0.7 0.14 21 — — — — — — LYD669 73330.1 — — — 7.8 0.15 24 0.4 0.20 12 LYD666 72394.3 — — — 7.6 0.20 21 0.4 0.28  9 LYD650 72642.5 0.7 0.11 21 — — — — — — LYD620 73066.3 — — — 7.7 0.15 22 0.4 0.26 10 LYD598 72421.1 — — — 7.3 0.27 17 0.4 0.30  9 LYD598 72445.1 — — — 7.4 0.27 18 — — — LYD574 73119.1 0.7 0.29 14 8.0 0.10 27 — — — LYD574 73121.2 0.7 0.26 15 — — — — — — LYD562 73484.2 0.7 0.27 15 7.4 0.26 18 — — — LYD562 73489.4 — — — 7.8 0.13 24 — — — LYD549 73029.4 — — — 7.5 0.21 20 — — — LYD542 72733.2 0.7 0.24 17 7.4 0.27 18 — — — LYD542 72735.4 0.7 0.19 18 — — — — — — LYD542 72736.4 0.7 0.21 16 — — — — — — LYD536 72531.3 0.7 0.09 23 — — — — — — CONT. — 0.6 — — 6.3 — — 0.4 — — LYD688 73133.1 — — — 8.1 0.01 44 0.4 0.03 25 LYD688 73134.6 — — — 7.4 0.05 33 0.4 0.12 17 LYD681 73184.1 — — — 6.8 0.18 22 0.4 0.16 15 LYD681 73184.2 — — — 6.7 0.23 20 0.4 0.21 14 LYD681 73186.2 — — — 6.9 0.16 24 — — — LYD675 72644.1 — — — 7.6 0.04 36 0.4 0.14 16 LYD675 72644.3 0.7 0.22 17 6.9 0.15 24 0.4 0.23 13 LYD675 72648.1 0.7 0.20 18 6.9 0.20 24 — — — LYD671 72882.3 0.7 0.14 19 — — — — — — LYD651 73021.3 — — — 6.7 0.22 20 — — — LYD651 73026.4 — — — 6.6 0.27 18 0.4 0.27 12 LYD644 72775.1 0.7 0.25 16 6.5 0.29 17 — — — LYD639 72548.4 — — — 6.6 0.28 19 0.4 0.23 13 LYD594 73307.1 — — — 6.8 0.18 22 0.4 0.20 15 LYD594 73307.3 — — — 6.6 0.28 19 — — — LYD594 73307.4 — — — 6.6 0.26 18 — — — LYD577 72748.3 — — — 6.7 0.21 21 0.4 0.24 13 LYD545 72508.2 0.7 0.30 13 — — — — — — LYD534 72409.1 — — — 7.0 0.15 25 0.4 0.15 16 LYD534 72414.3 — — — 6.6 0.28 18 — — — LYD524 72859.3 — — — 6.8 0.20 21 0.4 0.21 13 LYD524 72859.4 0.7 0.12 20 — — — — — — LYD522 72720.1 0.7 0.27 14 — — — — — — CONT. — 0.6 — — 5.6 — — 0.3 — — Table 63. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L-p < 0.01. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4111). “—” = results are still unavailable.

Example 17

Evaluating Transgenic Arabidopsis Under Normal Conditions Using In Vitro Assays [Tissue Culture T2 and T1 Plants, TC-T2 and TC-T1 Assays]

Surface sterilized seeds were sown in basal media [50% Murashige-Skoog medium (MS) supplemented with 0.8% plant agar as solidifying agent] in the presence of Kanamycin (used as a selecting agent). After sowing, plates were transferred for 2-3 days for stratification at 4° C. and then grown at 25° C. under 12-hour light 12-hour dark daily cycles for 7 to 10 days. At this time point, seedlings randomly chosen were carefully transferred to plates containing ½ MS media (15 mM N). For experiments performed in T₂ lines, each plate contained 5 seedlings of the same transgenic event, and 3-4 different plates (replicates) for each event. For each polynucleotide of the invention at least four-five independent transformation events were analyzed from each construct. For experiments performed in T₁ lines, each plate contained 5 seedlings of 5 independent transgenic events and 3-4 different plates (replicates) were planted. In total, for T₁ lines, 20 independent events were evaluated. Plants expressing the polynucleotides of the invention were compared to the average measurement of the control plants (empty vector or GUS reporter gene under the same promoter) used in the same experiment.

Digital imaging—A laboratory image acquisition system, which consists of a digital reflex camera (Canon EOS 300D) attached with a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which includes 4 light units (4×150 Watts light bulb) and located in a darkroom, was used for capturing images of plantlets sawn in agar plates.

The image capturing process was repeated every 3-4 days starting at day 1 till day 10 (see for example the images in FIGS. 3A-3F). An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.39 [Java based image processing program which was developed at the U.S. National Institutes of Health and freely available on the internet at Hypertext Transfer Protocol://rsbweb (dot) nih (dot) gov/]. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Seedling analysis—Using the digital analysis seedling data was calculated, including leaf area, root coverage and root length.

The relative growth rate for the various seedling parameters was calculated according to the following formulas XV (RGR leaf area), and XVI (RGR root length). Relative growth rate of leaf area=Regression coefficient of leaf area along time course.  Formula XV: Relative growth rate of root length=Regression coefficient of root length along time course.  Formula XVI:

At the end of the experiment, plantlets were removed from the media and weighed for the determination of plant fresh weight. Plantlets were then dried for 24 hours at 60° C., and weighed again to measure plant dry weight for later statistical analysis. The fresh and dry weights are provided for each Arabidopsis plant. Growth rate was determined by comparing the leaf area coverage, root coverage and root length, between each couple of sequential photographs, and results were used to resolve the effect of the gene introduced on plant vigor under optimal conditions. Similarly, the effect of the gene introduced on biomass accumulation, under optimal conditions, was determined by comparing the plants' fresh and dry weight to that of control plants (containing an empty vector or the GUS reporter gene under the same promoter). From every construct created, 3-5 independent transformation events were examined in replicates.

Statistical analyses—To identify genes conferring significantly improved plant vigor or enlarged root architecture, the results obtained from the transgenic plants were compared to those obtained from control plants. To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. To evaluate the effect of a gene event over a control the data was analyzed by Student's t-test and the p value was calculated. Results were considered significant if p≤0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).

Experimental Results:

Results from T2 Plants

Tables 64-66 summarize the observed phenotypes of transgenic plants expressing the gene constructs using the TC-T2 Assays.

The genes presented in Table 64 showed a significant improvement as they produced larger plant biomass (plant fresh and dry weight) in T2 generation when grown under normal growth conditions, as compared to control plants grown under identical growth conditions. The genes were cloned under the regulation of a constitutive promoter (At6669, SEQ ID NO:4111).

The evaluation of each gene was carried out by testing the performance of different number of events. Some of the genes were evaluated in more than one tissue culture assay. The results obtained in these second experiments were significantly positive as well.

TABLE 64 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Gene Dry Weight [mg] Fresh Weight [mg] Name Event # Ave. P-Val. % Incr. Ave. P-Val. % Incr. LYD686 72796.2 6.6 L 83 119.8 0.01 51 LYD686 72798.1 6.8 L 88 127.7 L 61 LYD685 72458.3 5.8 0.22 61 — — — LYD685 72458.5 6.5 0.06 80 116.9 0.09 48 LYD685 72459.1 5.5 0.11 52 125.7 0.27 59 LYD685 72462.4 — — — 105.5 0.09 33 LYD685 72462.5 4.8 0.14 33 103.3 0.12 30 LYD673 72662.2 5.2 0.02 44 — — — LYD673 72664.1 4.8 0.24 33 — — — LYD673 72666.1 4.5 0.23 23 — — — LYD663 72856.3 5.4 L 48 102.2 0.29 29 LYD663 72856.5 5.6 0.01 54 106.3 0.03 34 LYD663 72858.1 5.6 L 55  98.7 0.07 25 LYD663 72858.3 4.9 0.07 34 — — — LYD655 72209.1 — — — 106.5 0.21 34 LYD655 72210.1 4.8 0.26 33 — — — LYD640 72556.3 6.6 0.01 81 106.2 0.07 34 LYD640 72557.2 4.6 0.07 27 — — — LYD640 72558.2 6.2 L 71 105.2 0.04 33 LYD638 72451.1 6.3 L 73 109.6 0.02 38 LYD638 72456.2 4.2 0.25 17 — — — LYD615 72260.1 6.1 0.06 68 104.8 0.17 32 LYD615 72264.2 5.3 0.02 46  92.9 0.22 17 LYD613 72512.3 5.0 0.08 37 — — — LYD613 72514.2 6.1 0.16 68 109.0 0.29 38 LYD613 72515.4 4.9 0.13 34  99.0 0.24 25 LYD608 72883.2 5.9 L 63  95.7 0.12 21 LYD608 72888.2 6.4 L 77 119.5 L 51 LYD607 71961.1 7.3 L 103  133.1 L 68 LYD607 71963.1 6.3 0.02 73 119.2 0.04 51 LYD607 71963.2 5.7 0.09 58 128.8 0.11 63 LYD607 71963.4 5.1 0.08 40 — — — LYD597 72419.1 5.1 0.18 41 — — — LYD597 72419.2 4.1 0.17 13 — — — LYD597 72419.3 6.6 L 81 106.7 0.01 35 LYD597 72420.1 4.9 L 34 — — — LYD597 72443.4 5.8 0.23 59 — — — LYD583 71943.1 4.7 0.04 30 — — — LYD579 72350.3 5.1 0.03 40  92.1 0.23 16 LYD579 72354.1 5.7 0.14 57 104.6 0.15 32 LYD563 72319.2 4.1 0.19 13 — — — LYD563 72319.4 6.5 0.02 78 110.3 0.12 39 LYD563 72321.2 4.8 0.17 32 — — — LYD563 72323.1 5.0 0.07 38 — — — CONT. — 3.6 — —  79.2 — — LYD676 73880.1 4.9 0.17 43  97.8 0.17 41 LYD676 73884.1 — — —  85.6 0.16 23 LYD660 73932.1 5.1 0.03 49 107.4 L 54 LYD654 73924.4 4.7 0.06 36  96.9 0.05 39 LYD654 73926.3 4.3 0.17 25  84.0 0.20 21 LYD647 72784.3 5.6 0.09 64 116.9 0.07 68 LYD647 72785.2 4.8 0.04 38 103.7 L 49 LYD628 73678.3 4.5 0.25 30  92.9 0.15 34 LYD628 73679.2 7.6 0.11 120  136.4 0.11 96 LYD614 73917.1 4.8 0.04 38 106.8 0.04 54 LYD614 73919.3 6.2 0.04 78 128.1 0.05 84 LYD611 71988.3 4.6 0.07 35  93.1 0.04 34 LYD611 71992.5 5.2 0.02 51 104.8 0.13 51 LYD611 71992.6 5.7 0.07 66  92.1 0.13 32 LYD605 73643.1 5.8 0.05 67 104.0 0.07 50 LYD605 73644.2 5.1 0.04 47 106.8 0.07 54 LYD605 73645.2 — — —  79.8 0.29 15 LYD598 72421.2 5.8 L 67 104.4 0.04 50 LYD598 72423.2 4.6 0.07 33 — — — LYD598 72423.3 4.8 0.16 38  92.8 0.04 33 LYD591 73907.3 5.0 0.04 46  91.2 0.24 31 LYD589 73898.1 5.5 L 61 119.7 0.08 72 LYD589 73902.3 4.6 0.24 35 — — — LYD589 73903.3 5.5 L 61 111.2 0.02 60 LYD588 73852.2 4.7 0.22 37 — — — LYD588 73854.1 5.2 0.10 51 111.9 0.03 61 LYD588 73855.3 5.8 0.03 69 115.6 0.04 66 LYD584 73910.2 4.5 0.08 30  99.5 0.01 43 LYD584 73915.4 — — —  84.7 0.24 22 LYD566 73482.4 6.4 L 85 127.5 L 83 LYD566 73483.5 4.8 0.13 40 101.1 0.11 45 LYD535 72850.5 5.0 0.21 45  95.7 0.29 38 LYD535 72851.6 4.9 0.04 43  98.1 0.06 41 LYD535 72852.1 6.2 L 79 121.1 L 74 CONT. — 3.4 — — 69.5 — — LYD682 72565.2 — — —  83.8 0.10 23 LYD682 72566.1 — — — 91.7 0.02 35 LYD665 72215.2 4.5 0.22 18 — — — LYD665 72216.4 5.3 0.18 39  95.8 0.03 41 LYD650 72641.2 — — —  86.2 0.21 27 LYD644 72775.1 — — —  96.4 0.03 41 LYD644 72780.2 — — —  92.4 0.11 36 LYD626 72001.1 — — —  82.2 0.10 21 LYD626 72001.3 5.1 0.15 35  96.4 0.09 42 LYD626 72002.1 — — — 102.3 L 50 LYD555 74193.5 — — —  92.1 0.02 35 LYD555 74194.1 4.8 0.17 26 100.6 L 48 LYD555 74197.1 — — —  95.5 L 40 LYD542 72733.1 4.9 0.17 28  96.4 0.15 41 LYD542 72733.2 — — —  99.1 0.15 45 LYD542 72736.4 — — — 101.3 0.14 49 LYD540 74182.4 — — —  84.0 0.18 23 LYD540 74183.3 — — —  91.9 0.23 35 LYD536 72529.5 — — —  90.3 0.03 33 LYD536 72532.2 4.8 0.06 26 — — — LYD533 72721.1 5.0 0.23 30  97.7 0.19 43 LYD533 72721.2 4.7 0.20 23  95.2 0.02 40 LYD533 72722.1 — — —  89.2 0.09 31 LYD533 72723.1 5.8 0.29 51 117.9 0.07 73 LYD526 72164.4 4.7 0.11 24  96.3 0.12 41 CONT. — 3.8 — — 68.1 — — LYD679 72650.6 8.6 0.03 56 151.9 0.09 33 LYD645 72339.2 10.2  0.01 85 192.3 0.02 68 LYD636 72200.3 9.2 0.02 68 160.6 0.05 40 LYD634 71998.2 9.9 0.03 80 197.9 0.05 73 LYD634 71999.3 7.5 0.24 36 137.0 0.30 20 LYD567 72496.3 8.8 0.21 59 — — — LYD556 72904.3 9.1 0.06 65 184.3 0.09 61 LYD552 72983.2 9.5 0.01 73 170.6 0.02 49 CONT. — 5.5 — — 114.7 — — LYD689 72712.3 5.5 0.24 37 — — — LYD689 72713.1 9.6 0.05 141  174.7 L 118  LYD675 72643.1 7.3 0.08 82 142.2 0.08 77 LYD675 72644.3 8.7 0.01 119  174.8 L 118  LYD675 72646.1 9.6 L 140  165.4 0.01 106  LYD671 72877.1 — — — 100.3 0.12 25 LYD671 72878.2 6.8 0.02 69 119.2 0.16 49 LYD671 72880.1 — — — 104.4 0.05 30 LYD654 73922.3 6.6 L 65 119.5 0.03 49 LYD654 73924.5 5.7 0.16 44 — — — LYD652 72560.2 7.3 0.03 83 141.0 0.04 76 LYD652 72561.5 7.4 0.02 86 161.3 0.06 101  LYD652 72563.1 9.1 0.06 129  163.1 0.02 103  LYD648 72834.2 9.2 L 130  177.1 L 121  LYD641 72633.4 5.8 0.22 44 116.2 0.22 45 LYD641 72635.2 7.4 0.06 86 142.4 0.03 78 LYD636 72199.3 7.8 0.10 95 135.9 0.08 69 LYD636 72202.3 6.0 0.28 49 — — — LYD602 72613.1 6.1 0.19 52 134.4 0.13 68 LYD602 72614.2 7.5 L 87 158.5 L 98 LYD599 72265.3 6.3 0.07 59 — — — LYD599 72266.4 7.8 0.03 96 131.4 L 64 LYD599 72270.4 8.8 L 121  157.8 L 97 LYD555 74194.1 6.7 0.01 67 131.9 0.01 64 LYD555 74197.1 7.9 L 98 137.4 0.03 71 LYD555 74197.4 7.9 0.03 97 158.8 0.02 98 LYD555 74197.6 5.0 0.09 27  94.8 0.06 18 LYD548 72655.3 8.9 0.03 123  152.2 0.07 90 LYD548 72656.2 5.3 0.14 34  97.7 0.20 22 LYD541 72729.2 6.8 0.06 71 136.9 0.12 71 LYD541 72729.7 5.2 0.29 32 — — — LYD541 72731.4 6.5 0.14 62 109.5 0.27 37 LYD540 74182.2 5.0 0.20 26  98.0 0.17 22 LYD540 74182.7 6.8 L 71 133.2 0.03 66 LYD524 72859.1 9.6 L 141  178.9 L 123  LYD524 72859.4 8.0 0.06 100  129.9 0.09 62 CONT. — 4.0 — —  80.2 — — LYD683 72866.4 11.2  L 159  211.9 L 147  LYD683 72870.1 6.9 0.10 59 117.4 0.12 37 LYD683 72870.4 5.5 0.12 28 — — — LYD654 73922.4 5.2 0.26 20 107.6 0.16 25 LYD654 73924.4 6.6 0.21 53 120.2 0.30 40 LYD654 73924.5 5.8 0.08 33 114.2 0.01 33 LYD654 73926.3 7.9 0.01 82 146.8 L 71 LYD628 73679.2 5.8 0.22 34 114.2 0.23 33 LYD628 73680.2 5.5 0.21 26 — — — LYD628 73681.5 8.7 0.06 100  152.2 0.06 77 LYD624 73181.3 5.8 0.15 34 114.2 0.22 33 LYD624 73382.3 5.9 0.30 36 116.6 0.22 36 LYD624 73383.1 6.3 L 45 124.5 0.01 45 LYD624 73385.3 5.6 0.22 29 117.8 0.11 37 LYD605 73642.3 6.2 L 44 114.7 0.09 33 LYD604 73045.1 6.9 0.17 60 125.7 0.22 46 LYD604 73045.4 6.5 L 49 120.0 0.04 40 LYD604 73048.2 6.6 0.26 51 119.3 0.28 39 LYD598 72421.1 6.2 0.26 42 — — — LYD598 72445.1 6.0 0.01 39 112.0 0.07 30 LYD581 73107.1 5.9 0.03 37 108.6 0.10 27 LYD581 73107.5 5.5 0.27 27 — — — LYD581 73109.2 7.7 0.04 78 144.2 L 68 LYD581 73109.3 8.5 L 95 142.1 0.04 65 LYD581 73110.1 7.8 L 81 135.5 L 58 LYD566 73480.4 7.7 0.03 78 143.1 0.07 67 LYD566 73482.4 7.2 L 65 123.7 L 44 LYD566 73483.6 5.0 0.26 15 — — — LYD554 72171.1 9.1 0.01 109  153.4 0.01 79 LYD554 72174.4 7.2 0.17 65 126.6 0.20 47 LYD550 74186.3 6.5 0.14 50 — — — LYD550 74187.1 6.2 L 44 110.1 0.11 28 LYD550 74187.2 6.3 0.12 45 121.3 0.13 41 LYD548 72655.3 6.1 0.03 41 109.7 0.10 28 LYD548 72673.3 5.2 0.28 20 106.8 0.26 24 LYD540 74181.2 8.7 L 101  157.3 L 83 LYD540 74182.2 7.2 L 67 134.2 L 56 LYD540 74182.4 7.0 0.05 61 129.8 0.01 51 LYD540 74182.7 5.9 0.27 35 117.9 0.10 37 LYD535 72850.5 6.8 0.07 57 116.6 0.14 36 LYD535 72851.4 6.1 0.15 40 — — — LYD535 72852.2 5.2 0.25 21 — — — LYD530 73052.3 9.5 L 120  153.3 L 79 LYD530 73053.3 9.0 L 107  152.0 L 77 LYD530 73053.5 7.1 0.03 64 127.7 0.07 49 LYD530 73054.3 5.3 0.22 22 108.0 0.21 26 CONT. — 4.3 — —  85.9 — — LYD637 73685.1 9.0 0.15 42 173.7 0.13 53 LYD637 73685.2 8.0 0.18 26 142.9 0.25 26 LYD637 73685.3 9.8 0.03 54 183.6 0.05 62 LYD605 73642.3 — — — 149.8 0.17 32 LYD605 73644.2 8.2 0.14 29 142.8 0.22 26 LYD605 73645.2 10.2  0.03 60 168.6 0.12 49 LYD585 72986.1 8.5 0.13 34 167.2 0.08 48 LYD585 72986.4 9.1 0.09 44 161.4 0.09 42 LYD573 72977.1 — — — 151.0 0.24 33 LYD573 72978.2 — — — 151.0 0.24 33 LYD559 73627.2 8.3 0.24 31 140.9 0.28 24 LYD537 73633.4 8.8 0.24 39 — — — LYD537 73633.5 — — — 136.2 0.29 20 CONT. — 6.3 — — 113.3 — — LYD683 72868.1 7.2 0.28 24 — — — LYD647 72785.3 8.2 0.11 41 161.8 0.10 35 LYD611 71992.5 9.7 0.02 65 188.8 L 57 LYD611 71992.6 8.2 0.11 40 149.9 0.21 25 LYD585 72987.2 7.5 0.29 27 — — — LYD573 72973.2 8.4 0.11 44 161.1 0.11 34 LYD550 74188.2 7.6 0.07 30 152.9 0.07 27 CONT. — 5.9 — — 120.2 — — LYD686 72796.2 5.3 0.28 26 — — — LYD673 72662.2 6.5 0.03 55 130.2 0.04 42 LYD663 72853.5 6.5 0.17 55 — — — LYD655 72209.1 7.1 0.11 70 141.0 0.07 54 LYD638 72432.2 6.5 0.19 55 117.7 0.20 29 LYD638 72451.1 — — — 128.8 0.23 41 LYD615 72262.1 6.0 0.06 44 140.9 0.06 54 LYD613 72512.1 — — — 120.1 0.21 31 LYD608 72885.3 6.7 0.08 59 124.6 0.08 36 LYD608 72887.1 8.8 0.03 110  174.5 0.05 91 LYD608 72888.2 5.3 0.28 27 112.6 0.24 23 LYD607 71961.1 5.9 0.08 40 125.3 0.09 37 LYD607 71963.2 5.9 0.08 40 116.2 0.22 27 LYD597 72419.2 7.8 0.02 85 151.2 0.04 65 LYD597 72419.3 7.2 0.08 73 121.1 0.17 32 LYD597 72420.1 8.0 L 91 158.4 0.02 73 LYD583 71943.1 5.8 0.23 39 116.7 0.24 28 LYD583 71943.5 5.5 0.28 30 — — — LYD579 72350.3 6.9 0.05 64 162.1 0.02 77 LYD579 72354.1 8.3 0.02 98 169.3 0.05 85 LYD563 72319.2 6.9 0.01 65 124.5 0.06 36 LYD563 72324.2 8.0 0.12 90 182.8 0.04 100  CONT. — 4.2 — — 91.5 — — LYD592 74348.3 — — — 157.0 0.27 29 LYD592 74350.1 — — — 212.2 0.13 75 LYD592 74351.1 — — — 153.7 0.14 26 LYD592 74353.3 — — — 230.9 L 90 CONT. — — — — 121.6 — — LYD676 73881.2 5.8 0.15 16 131.1 0.29 51 LYD591 73905.1 5.9 0.13 16  97.4 0.24 12 CONT. — 5.0 — —  86.9 — — LYD665 72211.2 6.8 L 97 127.0 L 82 LYD665 72216.4 5.0 0.11 45  97.7 0.14 40 LYD665 72216.5 6.3 0.13 84 120.8 0.17 74 LYD665 72216.6 5.3 0.13 54 100.8 0.25 45 LYD592 74348.3 6.6 0.02 93 122.9 0.02 77 LYD592 74348.4 8.3 0.02 143  149.5 0.02 115  LYD592 74349.2 6.2 0.06 80 112.5 0.07 62 LYD592 74350.1 9.6 L 179  175.3 L 152  LYD592 74351.1 9.8 0.10 185  196.6 0.09 183  LYD532 74343.2 5.6 L 64 108.0 L 55 LYD532 74344.2 4.8 0.20 40  84.0 0.26 21 LYD532 74345.1 4.7 0.08 36  89.0 0.05 28 LYD532 74345.3 6.5 0.01 90 135.9 0.01 95 LYD525 74229.2 6.4 0.04 87 117.9 0.02 69 LYD525 74230.2 7.8 0.09 128  141.5 0.09 103  LYD525 74233.1 4.3 0.16 25  81.1 0.28 17 CONT. — 3.4 — — 69.6 — — LYD679 72652.3 6.7 0.03 55 153.5 0.11 41 LYD670 73346.2 4.9 0.20 13 — — — LYD670 73348.1 5.7 0.04 33 — — — LYD646 73040.3 6.5 0.19 52 143.2 0.26 32 LYD646 73040.4 5.6 L 31 134.8 0.17 24 LYD646 73042.4 5.1 0.23 19 — — — LYD616 73057.4 5.1 0.20 19 — — — LYD609 73124.2 8.7 0.04 101  200.8 0.07 85 LYD609 73128.5 5.4 0.23 26 — — — LYD604 73047.3 5.8 0.08 34 — — — LYD596 73634.2 5.4 0.09 26 127.1 0.26 17 LYD581 73107.1 7.2 L 67 164.9 0.07 52 LYD558 73112.3 5.5 0.01 28 137.2 0.12 26 LYD558 73113.1 5.1 0.13 18 — — — LYD558 73114.3 6.5 0.21 51 163.2 0.26 50 LYD552 72981.3 6.9 L 60 168.9 L 56 LYD552 72981.4 5.9 0.17 37 145.5 0.05 34 LYD530 73052.3 5.2 0.06 21 — — — LYD529 72899.7 6.4 L 48 135.5 0.08 25 CONT. — 4.3 — — 108.5 — — Table 64. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L-p < 0.01. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4111). “—” = results are still unavailable.

The genes presented in Tables 65 and 66 show a significant improvement in plant performance since they produced a larger leaf biomass (leaf area) and root biomass (root length and root coverage) (Table 65) and a higher relative growth rate of leaf area, root coverage and root length (Table 66) when grown under normal growth conditions, as compared to control plants grown under identical growth conditions. Plants producing larger root biomass have better possibilities to absorb larger amount of nitrogen from soil. Plants producing larger leaf biomass have better ability to produce assimilates. The genes were cloned under the regulation of a constitutive promoter (At6669). The evaluation of each gene was performed by testing the performance of different number of events. Some of the genes were evaluated in more than one tissue culture assay. This second experiment confirmed the significant increment in leaf and root performance. Event with p-value <0.1 was considered statistically significant.

TABLE 65 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Leaf Area Roots Coverage Roots Length [cm²] [cm²] [cm] P- % P- % P- % Gene Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYD686 72796.2 0.5 L 56 10.9 0.03 48 7.8 0.23 6 LYD686 72798.1 0.5 L 59 — — — — — — LYD685 72458.3 0.5 0.10 46 — — — — — — LYD685 72458.5 0.5 L 58 12.4 0.02 67 8.4 L 15 LYD685 72459.1 0.4 0.08 33 8.8 0.18 19 — — — LYD685 72462.4 0.5 0.08 45 — — — — — — LYD685 72462.5 0.5 0.05 43 10.0 0.18 36 — — — LYD673 72662.2 0.4 0.06 29 9.3 0.17 25 8.0 L 9 LYD673 72663.3 0.4 0.07 27 — — — — — — LYD673 72664.1 0.4 0.15 26 — — — — — — LYD673 72666.1 0.4 0.14 25 8.8 0.23 20 7.8 0.19 6 LYD663 72856.3 0.5 0.04 43 10.6 0.07 43 — — — LYD663 72856.5 0.5 0.01 44 10.4 L 40 — — — LYD663 72858.1 0.5 L 42 9.9 0.07 33 — — — LYD663 72858.3 0.4 0.12 22 9.9 0.03 33 — — — LYD655 72210.1 0.4 0.21 34 9.5 0.21 29 — — — LYD640 72556.3 0.5 0.02 57 11.3 0.03 53 — — — LYD640 72557.2 0.4 L 30 9.2 0.05 24 — — — LYD640 72558.2 0.5 L 55 11.4 0.04 54 8.1 0.05 10 LYD638 72432.2 — — — 8.1 0.18 10 7.8 0.11 7 LYD638 72451.1 0.5 L 66 12.0 L 63 8.1 L 10 LYD615 72259.2 0.4 0.19 32 — — — — — — LYD615 72260.1 0.5 0.05 58 11.1 0.01 50 8.3 L 13 LYD615 72264.2 0.4 0.02 32 — — — — — — LYD613 72512.3 0.4 0.05 28 8.7 0.11 18 — — — LYD613 72514.2 0.5 0.11 53 — — — — — — LYD613 72515.4 0.4 0.01 24 — — — — — — LYD608 72883.2 0.5 L 40 9.9 L 34 — — — LYD608 72888.2 0.5 0.01 44 12.9 L 74 8.1 0.01 11 LYD607 71961.1 0.6 L 73 11.5 L 56 — — — LYD607 71963.1 0.5 0.02 59 9.7 0.23 32 — — — LYD607 71963.2 0.5 0.02 43 11.6 L 57 — — — LYD607 71963.4 0.4 0.05 32 — — — — — — LYD597 72419.3 0.5 L 37 8.6 0.19 16 — — — LYD597 72420.1 0.4 0.16 11 — — — — — — LYD583 71943.1 0.4 0.10 13 — — — — — — LYD579 72350.2 0.4 0.03 18 8.0 0.15 8 — — — LYD579 72350.3 0.5 L 37 10.9 0.06 47 7.8 0.19 6 LYD579 72354.1 0.5 0.02 43 11.2 0.01 51 8.0 0.03 9 LYD563 72319.2 0.4 0.02 20 8.8 0.19 19 — — — LYD563 72319.4 0.5 0.04 54 11.4 0.01 54 7.8 0.17 6 LYD563 72321.2 0.4 0.24 25 — — — — — — LYD563 72323.1 0.4 0.04 33 11.8 0.08 59 — — — LYD563 72324.2 — — — — — — 7.8 0.15 7 CONT. — 0.3 — — 7.4 — — 7.3 — — LYD676 73880.1 0.5 0.18 26 — — — — — — LYD676 73884.1 — — — — — — 7.7 0.23 5 LYD660 73932.1 0.5 0.20 18 — — — — — — LYD654 73924.4 0.5 0.11 21 7.5 0.24 25 7.7 0.15 6 LYD647 72784.3 0.6 0.13 45 10.3 0.08 71 8.2 0.01 12 LYD647 72785.2 0.5 0.04 28 7.5 0.19 25 — — — LYD628 73678.3 0.5 0.27 20 — — — — — — LYD628 73679.2 0.6 0.10 54 10.7 0.08 77 8.0 0.04 9 LYD628 73681.1 — — — — — — 7.8 0.12 7 LYD614 73917.1 0.5 0.09 35 — — — — — — LYD614 73919.3 0.6 0.09 60 — — — — — — LYD611 71988.3 — — — 7.4 0.22 23 7.8 0.18 7 LYD611 71992.3 — — — — — — 7.9 0.08 8 LYD611 71992.5 0.5 0.05 33 — — — 7.8 0.18 7 LYD611 71992.6 0.6 0.03 43 9.0 0.12 49 8.0 0.07 9 LYD605 73643.1 0.5 0.17 26 — — — — — — LYD605 73644.2 0.5 0.05 30 7.3 0.25 21 — — — LYD598 72421.2 0.5 0.01 38 7.6 0.27 27 8.1 0.02 11 LYD598 72423.3 — — — 8.9 0.03 47 7.8 0.12 7 LYD591 73907.3 0.5 0.09 27 8.1 0.09 34 7.9 0.18 9 LYD591 73907.4 — — — — — — 7.8 0.13 7 LYD589 73898.1 0.6 0.01 43 8.3 0.09 37 7.7 0.19 6 LYD589 73903.3 0.5 0.08 35 — — — 7.8 0.11 7 LYD588 73854.1 0.6 0.01 52 8.5 0.12 40 8.5 L 16 LYD588 73855.3 0.5 0.03 37 8.6 0.08 42 7.6 0.28 5 LYD584 73910.2 0.4 0.26 14 — — — — — — LYD584 73915.4 — — — — — — 7.8 0.11 8 LYD566 73480.4 — — — — — — 7.8 0.21 7 LYD566 73482.4 0.6 L 59 8.7 0.07 44 7.8 0.18 7 LYD566 73483.5 0.5 0.22 21 7.6 0.16 26 — — — LYD535 72851.6 0.5 0.06 26 — — — 7.8 0.09 7 LYD535 72852.1 0.6 L 42 9.4 0.01 56 — — — CONT. — 0.4 — — 6.0 — — 7.3 — — LYD682 72566.1 0.5 0.12 13 — — — — — — LYD665 72215.2 0.5 0.08 27 8.5 0.09 19 7.9 0.07 8 LYD665 72216.4 0.5 0.11 29 9.6 0.10 33 8.0 0.04 10 LYD650 72639.4 — — — — — — 8.1 L 10 LYD650 72641.2 0.5 0.19 17 8.7 0.06 21 7.7 0.17 5 LYD644 72775.1 0.5 L 27 9.3 0.11 29 — — — LYD644 72778.1 — — — — — — 7.9 0.03 7 LYD644 72780.2 0.5 0.18 20 9.1 0.11 27 7.8 0.14 7 LYD639 72548.6 — — — — — — 7.7 0.18 5 LYD639 72549.3 — — — — — — 8.2 L 12 LYD639 72551.1 0.5 0.14 16 8.8 0.20 23 8.0 0.05 9 LYD626 72001.3 0.5 0.02 28 — — — — — — LYD626 72002.1 0.6 L 37 11.1 L 54 8.3 0.03 13 LYD626 72004.4 — — — 8.5 0.15 19 8.0 0.07 9 LYD606 72500.3 — — — — — — 7.9 0.02 8 LYD555 74193.5 0.5 0.13 13 9.7 0.09 35 8.0 0.05 8 LYD555 74194.1 0.5 0.09 24 — — — 7.7 0.21 5 LYD555 74197.1 0.5 0.05 17 — — — — — — LYD542 72733.1 0.5 0.08 24 — — — — — — LYD542 72733.2 0.5 0.29 14 — — — — — — LYD542 72736.1 — — — — — — 7.9 0.02 8 LYD542 72736.4 0.5 0.16 26 8.9 0.15 24 7.9 0.15 8 LYD540 74182.2 0.5 0.10 26 — — — — — — LYD540 74182.4 — — — 8.2 0.14 14 — — — LYD536 72529.5 0.5 0.18 16 — — — — — — LYD536 72532.2 0.5 0.06 21 8.6 0.20 20 8.0 0.09 8 LYD533 72721.1 0.5 0.06 27 9.5 0.08 33 8.4 L 14 LYD533 72721.2 0.5 0.05 21 9.0 0.03 25 — — — LYD533 72722.1 0.5 0.17 15 — — — — — — LYD533 72723.1 0.5 0.09 34 9.8 0.14 36 7.9 0.06 8 LYD526 72164.4 — — — 8.2 0.25 15 — — — LYD526 72168.4 — — — — — — 7.6 0.29 4 CONT. — 0.4 — — 7.2 — — 7.3 — — LYD679 72650.6 0.7 0.01 39 11.6 0.17 29 — — — LYD679 72652.3 0.6 0.25 25 11.4 0.29 27 — — — LYD645 72339.2 0.7 0.01 47 11.8 0.13 31 — — — LYD636 72200.3 0.7 0.03 33 11.8 0.10 31 — — — LYD634 71998.2 0.7 0.03 45 15.0 0.06 67 8.2 0.16 5 LYD634 71999.3 0.6 0.20 18 — — — — — — LYD567 72496.3 0.7 0.15 37 — — — — — — LYD556 72904.3 0.7 0.03 44 12.9 0.03 44 — — — LYD552 72979.3 — — — — — — 8.1 0.15 4 LYD552 72983.2 0.6 0.03 32 12.2 0.04 36 — — — LYD529 72898.2 0.6 0.21 27 — — — — — — CONT. — 0.5 — — 9.0 — — 7.8 — — LYD689 72711.2 — — — — — — 7.5 0.18 6 LYD689 72712.3 — — — 8.2 0.21 31 — — — LYD689 72713.1 0.7 0.01 72 12.6 L 101 8.4 L 20 LYD675 72643.1 0.6 0.14 43 11.6 0.06 86 7.7 0.19 9 LYD675 72644.1 — — — — — — 7.7 0.13 10 LYD675 72644.3 0.7 L 86 13.3 L 113 8.3 L 18 LYD675 72646.1 0.7 L 68 12.5 0.02 100 7.7 0.15 10 LYD671 72877.1 0.5 0.06 29 9.1 0.09 46 8.0 L 14 LYD671 72878.2 0.6 0.05 50 11.4 0.09 82 8.1 0.02 16 LYD671 72880.1 0.5 0.19 28 9.8 0.12 58 8.1 0.03 15 LYD654 73922.3 0.6 L 54 9.8 L 56 7.9 L 13 LYD654 73924.4 — — — — — — 7.7 0.29 10 LYD654 73924.5 0.5 0.20 18 9.2 0.01 47 8.0 L 14 LYD652 72560.1 — — — — — — 7.8 0.06 12 LYD652 72560.2 0.6 0.04 48 12.2 L 96 8.4 L 19 LYD652 72561.5 0.6 0.02 52 9.7 0.03 56 7.8 0.06 11 LYD652 72563.1 0.6 0.02 64 12.4 0.04 98 8.5 L 21 LYD648 72831.3 — — — — — 7.3 0.28 4 LYD648 72834.1 — — — 8.6 0.16 38 8.1 L 15 LYD648 72834.2 0.7 L 73 14.8 L 136  8.0 0.09 14 LYD641 72632.2 — — — — — — 7.4 0.27 6 LYD641 72633.4 0.5 0.11 28 9.6 0.02 54 8.2 L 17 LYD641 72635.2 0.6 0.04 41 10.6 0.13 70 8.0 0.16 13 LYD636 72199.3 0.6 0.09 54 10.7 0.11 71 — — — LYD636 72200.3 — — — — — — 7.6 0.11 9 LYD636 72202.3 — — — 8.6 0.15 38 7.4 0.18 6 LYD602 72613.1 0.5 0.19 34 8.6 0.19 37 — — — LYD602 72614.2 0.6 L 51 11.3 0.04 81 7.9 0.01 13 LYD599 72265.3 0.5 0.24 23 — — — — — — LYD599 72266.4 0.5 0.06 38 — — — — — — LYD599 72270.4 0.7 L 72 8.0 0.05 29 — — — LYD555 74193.1 0.5 0.28 15 — — — 7.7 0.15 10 LYD555 74194.1 0.6 L 56 13.0 L 109  8.4 L 20 LYD555 74197.1 0.7 L 80 9.6 0.04 54 7.6 0.12 9 LYD555 74197.4 0.7 L 66 11.8 0.01 89 7.9 0.01 12 LYD555 74197.6 0.5 0.08 28 8.5 0.02 36 7.9 0.10 12 LYD548 72655.3 0.7 0.01 84 11.6 0.02 85 8.2 0.03 17 LYD548 72656.2 0.5 0.27 17 8.9 0.04 42 7.8 0.04 11 LYD548 72673.3 — — — 7.8 0.10 24 7.6 0.06 8 LYD548 72677.1 — — — 7.1 0.24 14 7.5 0.06 8 LYD541 72729.2 0.6 0.07 55 10.4 0.12 67 7.6 0.26 9 LYD541 72729.7 0.5 0.16 28 — — — 8.0 0.02 14 LYD541 72731.4 0.6 0.03 45 7.9 0.26 26 — — — LYD541 72732.1 0.4 0.15 9 — — — 7.7 0.06 9 LYD540 74182.2 0.5 0.17 30 — — — — — — LYD540 74182.7 0.6 L 54 10.1 0.03 61 7.7 0.02 10 LYD524 72859.1 0.7 0.01 68 9.9 0.01 59 — — — LYD524 72859.4 0.6 0.02 63 9.9 0.11 58 7.7 0.22 10 LYD524 72864.4 — — — — — — 7.7 0.05 10 CONT. — 0.4 — — 6.2 — — 7.0 — — LYD683 72866.4 0.7 L 75 13.8 L 79 — — — LYD683 72870.1 0.5 0.12 27 11.3 L 47 7.9 0.20 7 LYD683 72870.4 0.5 0.05 24 11.0 0.05 44 7.9 0.27 6 LYD654 73922.4 0.5 0.22 14 9.1 0.21 19 — — — LYD654 73924.4 0.5 0.20 25 11.4 0.09 49 8.0 0.19 8 LYD654 73924.5 0.5 0.05 19 12.0 L 57 8.4 0.02 13 LYD654 73926.3 0.6 L 50 12.4 L 62 8.2 0.05 11 LYD628 73678.3 — — — 9.7 0.24 27 — — — LYD628 73679.2 — — — 10.7 0.17 39 8.1 0.19 9 LYD628 73681.5 0.6 0.02 46 11.9 0.05 56 7.9 0.28 7 LYD624 73181.3 0.6 0.08 32 10.0 0.10 31 8.1 0.10 9 LYD624 73383.1 0.6 L 34 9.1 0.06 19 — — — LYD624 73385.1 0.5 0.22 24 — — — — — — LYD624 73385.3 0.5 0.07 29 11.0 L 43 8.1 0.12 9 LYD605 73642.3 0.5 0.06 28 8.7 0.19 14 — — — LYD604 73045.1 0.6 0.23 31 10.2 0.22 33 8.1 0.10 9 LYD604 73045.4 0.6 L 31 9.4 L 22 — — — LYD604 73048.2 — — — 9.9 0.11 29 7.9 0.28 6 LYD598 72421.2 — — — — — — 8.0 0.21 8 LYD598 72445.1 0.5 0.27 14 10.7 0.24 39 8.1 0.18 9 LYD581 73107.1 0.5 0.06 22 — — — — — — LYD581 73109.2 0.5 0.07 30 11.2 0.03 46 8.1 0.10 8 LYD581 73109.3 0.6 0.02 49 10.2 0.08 33 — — — LYD581 73110.1 0.6 L 51 12.7 L 66 8.0 0.22 7 LYD566 73480.4 0.7 0.02 56 9.0 0.14 17 — — — LYD566 73482.4 0.7 L 56 10.5 0.03 37 8.0 0.17 8 LYD566 73483.6 — — — 9.2 0.14 20 8.0 0.10 8 LYD554 72171.1 0.6 0.02 51 12.1 0.09 57 8.2 0.15 11 LYD554 72174.4 — — — 11.7 0.12 52 8.0 0.26 8 LYD550 74186.3 0.6 0.16 36 — — — — — — LYD550 74187.1 0.5 L 29 — — — — — — LYD550 74187.2 0.6 0.09 42 10.7 0.10 39 8.0 0.26 7 LYD548 72655.3 0.5 0.05 20 10.3 0.04 35 — — — LYD548 72673.3 0.5 0.25 11 9.2 0.28 20 8.3 0.04 12 LYD540 74181.2 0.7 L 58 13.0 L 69 8.5 0.02 14 LYD540 74182.2 0.6 L 36 10.6 L 38 — — — LYD540 74182.4 0.5 0.06 20 10.8 0.03 41 8.3 0.05 11 LYD540 74182.7 0.5 0.25 25 10.0 0.20 30 — — — LYD535 72850.5 0.6 0.02 33 9.3 0.14 22 — — — LYD535 72851.4 0.5 0.18 23 — — — — — — LYD535 72852.2 — — — — — — 7.9 0.28 7 LYD530 73052.3 0.7 L 63 13.5 L 76 8.2 0.04 11 LYD530 73053.3 0.7 L 61 13.1 L 71 8.1 0.11 9 LYD530 73053.4 — — — 10.1 0.16 32 8.1 0.12 9 LYD530 73053.5 0.6 0.05 40 12.5 L 63 8.2 0.05 11 LYD530 73054.3 — — — 9.1 0.21 19 8.1 0.09 9 CONT. — 0.4 — — 7.7 — — 7.4 — — LYD677 72223.1 — — — 13.3 0.25 15 8.6 0.02 5 LYD677 72223.6 0.7 0.04 27 14.2 0.13 23 8.6 0.10 5 LYD677 72223.7 — — — — — — 8.5 0.23 4 LYD637 73685.1 0.7 0.08 44 14.3 0.23 24 8.6 0.10 5 LYD637 73685.2 0.7 0.03 30 — — — — — — LYD637 73685.3 0.8 0.02 47 13.9 0.25 21 — — — LYD625 72756.1 0.6 0.16 23 — — — — — — LYD605 73641.1 0.6 0.19 21 — — — — — — LYD605 73642.3 0.7 0.15 34 — — — — — — LYD605 73644.2 0.7 0.02 33 — — — — — — LYD605 73645.2 0.8 L 62 14.8 0.08 28 — — — LYD585 72986.1 0.7 0.04 38 14.5 0.06 26 8.8 0.03 7 LYD585 72986.4 0.7 0.01 45 13.9 0.11 21 8.7 0.14 6 LYD585 72988.3 0.7 0.10 38 — — — — — — LYD573 72974.2 0.6 0.25 15 14.2 0.09 23 8.4 0.20 2 LYD573 72977.1 0.6 0.26 20 — — — — — — LYD573 72978.2 0.7 0.12 35 — — — — — — LYD566 73481.2 0.6 0.10 24 — — — — — — LYD566 73483.6 — — — — — — 8.4 0.21 3 LYD559 73627.2 0.7 0.06 34 — — — 8.7 0.01 7 LYD537 73628.1 0.6 0.28 20 — — — — — — LYD537 73633.1 0.6 0.12 26 — — — 8.7 0.13 6 LYD537 73633.4 0.7 0.13 36 15.3 0.10 33 8.6 0.08 5 LYD537 73633.5 0.7 0.05 28 13.1 0.24 14 — — — CONT. — 0.5 — — 11.5 — — 8.2 — — LYD683 72866.4 — — — — — — 7.9 0.15 6 LYD647 72784.3 — — — — — — 7.9 0.15 6 LYD647 72785.3 0.7 0.05 29 12.9 0.15 21 — — — LYD647 72785.4 — — — — — — 8.0 0.23 7 LYD647 72786.1 — — — — — — 8.2 0.01 10 LYD611 71991.5 — — — — — — 7.9 0.05 7 LYD611 71992.5 0.8 L 55 13.0 0.17 22 — — — LYD611 71992.6 0.7 0.02 29 — — — — — — LYD585 72986.1 — — — — — — 7.9 0.11 7 LYD585 72986.4 — — — — — — 8.2 0.06 10 LYD585 72987.2 — — — — — — 7.9 0.22 6 LYD585 72988.1 0.7 L 29 14.3 L 34 7.9 0.10 6 LYD573 72973.2 0.6 0.06 26 13.0 0.19 22 7.9 0.17 7 LYD573 72974.2 — — — — — — 7.8 0.22 6 LYD573 72978.1 0.6 0.18 18 — — — 8.2 L 11 LYD550 74188.2 0.6 0.04 25 — — — — — — CONT. — 0.5 — — 10.7 — — 7.4 — — LYD686 72796.2 0.5 0.28 12 — — — — — — LYD673 72662.2 0.6 0.03 29 10.5 0.13 25 — — — LYD663 72858.1 0.6 0.25 29 — — — 7.9 0.27 4 LYD655 72209.1 0.6 0.08 41 10.3 0.11 23 7.8 0.14 4 LYD655 72210.1 0.6 0.17 40 11.5 0.02 36 — — — LYD640 72557.2 0.6 L 40 11.8 0.07 40 7.9 0.27 4 LYD640 72558.3 0.5 0.10 20 10.0 0.19 19 — — — LYD638 72432.2 0.6 0.12 28 — — — — — — LYD638 72451.1 0.6 L 42 11.9 0.05 42 8.0 0.05 6 LYD615 72262.1 0.6 0.07 35 12.2 0.05 46 8.2 0.13 8 LYD613 72515.1 0.6 0.07 44 — — — — — — LYD613 72516.1 0.6 0.06 26 — — — — — — LYD608 72885.3 — — — — — — 8.1 0.02 7 LYD608 72887.1 0.7 0.04 60 12.4 0.02 47 — — — LYD608 72888.1 — — — — — — 7.9 0.10 4 LYD608 72888.2 0.5 0.17 17 9.9 0.20 17 8.2 0.06 8 LYD607 71961.1 0.5 0.12 22 10.5 0.13 25 — — — LYD607 71963.2 0.5 0.08 23 10.3 0.19 23 7.8 0.19 4 LYD607 71963.4 — — — — — — 7.8 0.20 3 LYD597 72419.2 0.6 0.06 28 — — — — — — LYD597 72420.1 0.7 L 48 11.1 0.04 32 — — — LYD583 71943.1 — — — — — — 7.8 0.25 3 LYD579 72350.3 0.6 0.05 42 11.4 0.04 35 8.1 L 7 LYD579 72354.1 0.7 0.03 62 12.1 0.05 44 8.2 0.01 8 LYD563 72319.2 0.6 0.01 37 11.5 0.02 37 8.1 0.05 7 LYD563 72319.4 — — — — — — 7.8 0.21 4 LYD563 72324.2 0.7 0.10 63 — — — 8.4 0.01 11 CONT. — 0.4 — — 8.4 — — 7.6 — — LYD592 74348.3 0.7 0.15 29 — — — 8.6 0.12 8 LYD592 74349.2 0.7 0.29 15 — — — — — — LYD592 74350.1 0.8 0.08 40 13.6 0.13 27 — — — LYD592 74351.1 0.7 0.02 28 13.6 0.04 27 8.3 0.20 4 LYD592 74353.3 0.9 L 65 16.3 L 52 8.8 L 10 LYD525 74230.2 0.7 0.19 15 — — — 8.4 0.30 5 CONT. — 0.6 — — 10.7 — — 8.0 — — LYD676 73881.2 0.6 0.14 22 10.4 0.19 32 — — — LYD591 73905.1 — — — 10.3 L 29 8.2 L 11 CONT. — 0.5 — — 7.9 — — 7.4 — — LYD665 72211.2 0.6 L 72 10.5 0.02 39 8.3 0.02 13 LYD665 72216.4 0.5 0.16 32 — — — 7.7 0.30 5 LYD665 72216.5 0.5 0.18 31 — — — — — — LYD665 72216.6 0.4 0.27 24 9.1 0.30 20 7.9 0.21 8 LYD592 74348.3 0.6 L 70 11.2 L 49 8.0 0.06 9 LYD592 74348.4 0.6 L 86 14.8 L 97 8.8 L 19 LYD592 74349.2 0.6 0.04 58 — — — — — — LYD592 74350.1 0.7 L 109  14.3 L 90 8.3 0.03 13 LYD592 74351.1 0.7 0.07 96 13.3 0.09 76 8.2 0.05 12 LYD532 74343.2 0.5 L 51 9.5 0.05 25 — — — LYD532 74345.1 0.4 0.06 23 9.2 0.12 22 — — — LYD532 74345.3 0.6 L 78 11.7 L 55 8.0 0.09 8 LYD525 74229.2 0.5 0.01 56 — — — — — — LYD525 74230.2 0.6 0.05 83 12.1 0.18 61 8.3 0.05 13 LYD525 74233.1 0.4 0.13 17 — — — — — — CONT. — 0.3 — — 7.5 — — 7.3 — — LYD679 72652.3 0.6 0.06 27 13.1 L 36 — — — LYD670 73348.1 0.5 0.21  9 — — — — — — LYD646 73040.3 0.6 0.17 29 — — — — — — LYD646 73040.4 0.6 L 26 12.8 L 33 8.4 L 8 LYD624 73181.3 0.5 0.12  9 — — — — — — LYD616 73057.4 0.5 0.26  9 — — — — — — LYD616 73058.4 — — — — — — 8.3 0.09 7 LYD609 73124.2 0.7 0.06 50 12.1 0.19 26 — — — LYD609 73128.5 0.6 0.16 18 — — — — — — LYD604 73045.4 0.6 0.10 19 — — — — — — LYD604 73047.3 0.6 L 24 10.7 0.24 11 — — — LYD581 73107.1 0.6 L 29 13.3 L 38 — — — LYD558 73112.3 0.6 0.23 18 — — — — — — LYD558 73114.3 0.7 0.11 46 — — — 8.2 0.02 6 LYD552 72981.3 0.7 L 36 11.4 0.17 18 — — — LYD552 72981.4 0.6 0.03 31 11.8 0.08 22 — — — LYD552 72983.1 0.6 0.17 26 — — — — — — LYD530 73052.3 0.6 0.11 21 — — — — — — LYD529 72899.7 0.6 0.03 25 11.5 0.06 20 8.1 0.06 4 CONT. — 0.5 — — 9.6 — — 7.8 — — Table 65. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L- p < 0.01. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4111). “—” = results are still unavailable.

TABLE 66 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter RGR Of RGR Of Roots RGR Of Leaf Area Coverage Root Length (cm²/day) (cm²/day) (cm/day) P- % P- % P- % Gene Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYD686 72796.2 0.1 L 67 1.3 L 49 0.8 0.16 8 LYD686 72798.1 0.1 L 61 — — — — — — LYD685 72458.3 0.0 0.02 45 — — — — — — LYD685 72458.5 0.1 L 65 1.5 L 68 0.8 0.06 11 LYD685 72459.1 0.0 0.03 32 1.1 0.17 18 — — — LYD685 72462.4 0.0 L 46 1.2 0.12 31 — — — LYD685 72462.5 0.0 L 48 1.2 0.03 36 — — — LYD673 72662.2 0.0 0.01 36 1.1 0.09 26 0.8 0.01 13 LYD673 72663.3 0.0 0.04 28 — — — — — — LYD673 72664.1 0.0 0.06 28 — — — — — — LYD673 72666.1 0.0 0.05 30 1.1 0.16 20 0.8 0.23 7 LYD663 72856.3 0.0 L 43 1.3 L 44 — — — LYD663 72856.5 0.0 L 49 1.3 L 41 — — — LYD663 72858.1 0.0 L 46 1.2 0.02 34 — — — LYD663 72858.3 0.0 0.05 25 1.2 0.02 34 — — — LYD655 72207.3 0.0 0.21 17 — — — — — — LYD655 72210.1 0.0 0.05 37 1.2 0.08 30 — — — LYD640 72556.3 0.1 L 60 1.4 L 54 — — — LYD640 72557.2 0.0 L 32 1.1 0.06 25 — — — LYD640 72557.4 0.0 0.30 20 — — — — — — LYD640 72558.2 0.1 L 64 1.4 L 54 0.8 0.24 7 LYD640 72558.3 0.0 0.30 15 — — — — — — LYD638 72432.2 — — — — — — 0.8 0.18 7 LYD638 72451.1 0.1 L 63 1.5 L 64 0.8 0.19 7 LYD615 72259.2 0.0 0.07 33 — — — — — — LYD615 72260.1 0.1 L 66 1.4 L 51 0.8 0.02 14 LYD615 72264.2 0.0 0.01 31 — — — — — — LYD613 72512.3 0.0 0.03 31 1.1 0.15 18 — — — LYD613 72514.2 0.1 0.01 55 1.1 0.17 23 — — — LYD613 72515.4 0.0 0.02 28 — — — — — — LYD608 72883.2 0.0 L 46 1.2 L 35 — — — LYD608 72888.2 0.0 L 48 1.6 L 75 0.8 0.19 7 LYD607 71961.1 0.1 L 80 1.4 L 54 — — — LYD607 71963.1 0.1 L 64 1.2 0.07 31 — — — LYD607 71963.2 0.0 L 46 1.4 L 57 — — — LYD607 71963.4 0.0 L 37 — — — — — — LYD597 72419.3 0.0 L 35 1.1 0.20 17 0.8 0.21 7 LYD597 72420.1 0.0 0.27 13 — — — — — — LYD597 72443.4 0.0 0.19 26 — — — — — — LYD583 71943.1 0.0 0.29 12 — — — — — — LYD579 72350.2 0.0 0.10 19 — — — — — — LYD579 72350.3 0.0 L 41 1.3 L 48 — — — LYD579 72354.1 0.0 L 42 1.4 L 52 0.8 0.19 7 LYD563 72319.2 0.0 0.29 12 1.1 0.16 19 — — — LYD563 72319.4 0.1 L 62 1.4 L 55 — — — LYD563 72321.2 0.0 0.15 24 1.1 0.18 21 — — — LYD563 72323.1 0.0 L 40 1.4 L 60 — — — CONT. — 0.0 — — 0.9 — — 0.7 — — LYD676 73880.1 0.0 0.21 27 — — — 0.8 0.28 8 LYD676 73884.1 — — — — — — 0.8 0.12 12 LYD654 73924.4 0.0 0.18 25 0.9 0.23 28 0.8 0.05 15 LYD647 72784.3 0.1 0.05 49 1.3 0.01 74 0.8 0.12 13 LYD647 72785.2 0.1 0.09 33 0.9 0.24 26 — — — LYD628 73679.2 0.1 0.01 68 1.3 L 79 — — — LYD628 73681.1 — — — — — — 0.8 0.17 10 LYD614 73917.1 0.1 0.05 42 — — — — — — LYD614 73919.3 0.1 0.04 55 — — — — — — LYD611 71988.3 — — — 0.9 0.26 25 0.8 0.12 12 LYD611 71992.3 — — — — — — 0.8 0.03 16 LYD611 71992.5 0.1 0.10 32 — — — 0.8 0.28 8 LYD611 71992.6 0.1 0.04 44 1.1 0.05 51 0.8 0.08 14 LYD605 73643.1 0.1 0.14 31 — — — — — — LYD605 73644.2 0.1 0.13 29 0.9 0.30 23 — — — LYD598 72421.2 0.1 0.06 37 0.9 0.25 27 0.8 0.13 12 LYD598 72423.3 — — — 1.1 0.03 50 0.7 0.30 8 LYD591 73907.3 0.1 0.14 29 1.0 0.11 36 0.8 0.21 11 LYD591 73907.4 — — — — — — 0.8 0.04 15 LYD589 73898.1 0.1 0.04 45 1.0 0.09 40 0.8 0.18 11 LYD589 73903.3 0.1 0.08 38 — — — 0.8 0.19 11 LYD588 73851.2 — — — — — — 0.8 0.19 11 LYD588 73852.1 — — — — — — 0.8 0.10 13 LYD588 73852.2 0.0 0.28 25 — — — 0.8 0.20 12 LYD588 73854.1 0.1 0.02 51 1.0 0.08 42 0.8 0.01 20 LYD588 73855.3 0.1 0.04 40 1.0 0.06 44 0.8 0.25 9 LYD584 73915.4 — — — — — — 0.8 0.10 12 LYD566 73480.4 — — — — — — 0.8 0.02 20 LYD566 73481.2 — — — — — — 0.8 0.09 13 LYD566 73482.4 0.1 L 59 1.1 0.05 47 0.8 0.28 9 LYD566 73483.5 0.0 0.28 22 0.9 0.20 28 — — — LYD566 73483.6 — — — — — — 0.8 0.08 13 LYD535 72851.6 0.0 0.22 23 — — — 0.8 0.22 10 LYD535 72852.1 0.1 0.02 45 1.2 0.01 59 0.8 0.20 11 CONT. — 0.0 — — 0.7 — — 0.7 — — LYD682 72566.1 0.0 0.30 15 — — — — — — LYD665 72215.2 0.1 0.07 29 1.0 0.18 20 0.8 0.13 9 LYD665 72216.4 0.1 0.08 30 1.2 0.05 34 0.8 0.15 9 LYD650 72639.4 — — — — — — 0.8 0.06 11 LYD650 72641.2 0.0 0.16 22 1.1 0.14 22 0.8 0.10 10 LYD644 72775.1 0.1 0.03 32 1.1 0.07 29 — — — LYD644 72778.1 — — — — — — 0.8 0.29 6 LYD644 72780.2 0.0 0.22 20 1.1 0.09 27 — — — LYD639 72549.3 — — — — — — 0.8 0.21 7 LYD639 72551.1 0.1 0.13 22 1.1 0.15 24 0.9 0.02 15 LYD626 72001.1 — — — — — — 0.8 0.28 7 LYD626 72001.3 0.1 0.06 29 — — — — — — LYD626 72002.1 0.1 0.03 35 1.4 L 55 — — — LYD626 72004.4 — — — 1.0 0.22 19 0.8 0.18 8 LYD555 74193.5 — — — 1.2 0.04 35 — — — LYD555 74194.1 0.1 0.08 27 — — — — — — LYD555 74197.1 0.0 0.28 15 — — — — — — LYD542 72733.1 0.0 0.17 21 — — — — — — LYD542 72736.4 0.1 0.14 25 1.1 0.13 24 0.8 0.19 9 LYD540 74182.2 0.1 0.09 28 — — — — — — LYD536 72532.2 0.0 0.16 21 1.1 0.19 21 0.8 0.05 13 LYD533 72721.1 0.1 0.06 31 1.2 0.05 32 0.8 0.06 11 LYD533 72721.2 0.1 0.10 24 1.1 0.09 25 — — — LYD533 72722.1 0.0 0.28 15 — — — — — — LYD533 72723.1 0.1 0.02 41 1.2 0.05 37 0.8 0.08 10 CONT. — 0.0 — — 0.9 — — 0.7 — — LYD679 72650.6 0.1 0.06 38 1.4 0.17 29 — — — LYD679 72652.3 0.1 0.18 30 1.4 0.23 27 — — — LYD645 72339.2 0.1 L 55 1.4 0.14 31 — — — LYD636 72200.3 0.1 0.06 37 1.4 0.13 30 — — — LYD634 71998.2 0.1 0.01 55 1.8 L 67 — — — LYD567 72496.3 0.1 0.10 39 — — — — — — LYD556 72903.5 — — — 1.4 0.28 24 — — — LYD556 72904.3 0.1 0.04 44 1.6 0.04 45 — — — LYD552 72979.3 — — — — — — 0.8 0.29 7 LYD552 72983.2 0.1 0.04 40 1.5 0.07 36 — — — LYD529 72898.2 0.1 0.17 31 — — — — — — CONT. — 0.1 — — 1.1 — — 0.7 — — LYD689 72712.3 0.0 0.17 19 1.0 0.09 32 — — — LYD689 72713.1 0.1 L 82 1.5 L 99 0.8 0.08 16 LYD675 72643.1 0.1 L 54 1.4 L 87 — — — LYD675 72644.1 — — — — — — 0.7 0.27 10 LYD675 72644.3 0.1 L 99 1.6 L 114  — — — LYD675 72646.1 0.1 L 82 1.5 L 102  — — — LYD671 72877.1 0.1 L 34 1.1 0.01 48 0.8 0.03 19 LYD671 72878.2 0.1 L 62 1.3 L 80 0.7 0.20 12 LYD671 72880.1 0.1 0.02 34 1.2 0.01 59 0.8 0.15 14 LYD654 73922.3 0.1 L 65 1.2 L 54 0.8 0.10 14 LYD654 73924.4 0.0 0.13 29 1.0 0.14 40 — — — LYD654 73924.5 0.0 0.07 22 1.1 0.01 44 — — — LYD652 72560.1 — — — — — — 0.8 0.14 14 LYD652 72560.2 0.1 L 60 1.5 L 97 — — — LYD652 72561.5 0.1 L 63 1.2 L 56 — — — LYD652 72563.1 0.1 L 75 1.5 L 97 0.8 0.04 20 LYD648 72832.2 0.1 0.02 33 1.0 0.15 33 — — — LYD648 72834.1 0.0 0.18 16 1.0 0.06 38 0.7 0.21 11 LYD648 72834.2 0.1 L 91 1.8 L 139  — — — LYD641 72633.4 0.1 0.01 33 1.1 L 52 — — — LYD641 72635.2 0.1 L 49 1.2 0.01 67 — — — LYD636 72199.3 0.1 L 63 1.3 L 69 — — — LYD636 72202.3 0.1 0.05 35 1.0 0.08 34 — — — LYD602 72613.1 0.1 L 45 1.0 0.06 38 — — — LYD602 72613.3 0.0 0.30 15 — — — — — — LYD602 72614.2 0.1 L 66 1.4 L 82 — — — LYD602 72617.3 0.0 0.11 22 — — — — — — LYD599 72265.3 0.1 0.01 36 — — — 0.8 0.03 23 LYD599 72266.4 0.1 L 50 — — — — — — LYD599 72270.4 0.1 L 91 1.0 0.07 29 — — — LYD555 74193.1 0.0 0.27 12 — — — 0.7 0.24 11 LYD555 74194.1 0.1 L 72 1.5 L 107  0.7 0.23 11 LYD555 74197.1 0.1 L 86 1.1 L 53 — — — LYD555 74197.4 0.1 L 70 1.4 L 89 — — — LYD555 74197.6 0.1 L 34 1.0 0.04 33 — — — LYD548 72655.3 0.1 L 101 1.4 L 81 — — — LYD548 72656.2 0.1 0.01 30 1.1 0.02 42 — — — LYD548 72673.3 0.0 0.18 16 0.9 0.13 23 — — — LYD541 72729.2 0.1 L 67 1.3 L 70 0.8 0.17 13 LYD541 72729.7 0.1 L 42 0.9 0.26 25 0.7 0.29 10 LYD541 72731.4 0.1 L 48 0.9 0.18 24 — — — LYD541 72732.1 0.0 0.03 19 — — — — — — LYD540 74182.2 0.1 0.03 32 — — — — — — LYD540 74182.7 0.1 L 60 1.2 L 60 — — — LYD524 72859.1 0.1 L 77 1.2 L 59 — — — LYD524 72859.4 0.1 L 70 1.2 0.01 57 — — — LYD524 72864.4 — — — — — — 0.7 0.20 11 CONT. — 0.0 — — 0.7 — — 0.7 — — LYD683 72866.3 — — — 1.1 0.26 20 — — — LYD683 72866.4 0.1 L 79 1.7 L 80 — — — LYD683 72870.1 0.1 0.05 32 1.4 L 49 0.8 0.27 9 LYD683 72870.4 0.1 0.09 25 1.3 L 45 — — — LYD654 73922.4 — — — 1.1 0.21 19 — — — LYD654 73924.4 0.1 0.10 29 1.4 0.01 48 — — — LYD654 73924.5 0.1 0.09 23 1.5 L 57 — — — LYD654 73926.3 0.1 L 53 1.5 L 64 0.8 0.13 13 LYD628 73678.3 0.1 0.24 26 1.2 0.13 28 0.8 0.13 17 LYD628 73679.2 0.1 0.16 25 1.3 0.05 38 — — — LYD628 73680.2 — — — 1.1 0.30 15 — — — LYD628 73681.5 0.1 L 50 1.5 L 56 — — — LYD624 73181.3 0.1 0.04 35 1.2 0.06 31 0.8 0.28 9 LYD624 73383.1 0.1 0.02 34 1.1 0.15 19 — — — LYD624 73385.1 0.1 0.10 29 — — — — — — LYD624 73385.3 0.1 0.06 30 1.3 L 45 0.8 0.16 12 LYD605 73642.3 0.1 0.08 27 1.1 0.29 15 — — — LYD604 73045.1 0.1 0.08 36 1.2 0.08 32 — — — LYD604 73045.4 0.1 0.06 29 1.1 0.10 23 0.8 0.22 11 LYD604 73048.2 0.1 0.23 24 1.2 0.07 29 — — — LYD598 72421.2 — — — 1.1 0.29 17 — — — LYD598 72445.1 0.1 0.18 20 1.3 0.08 37 — — — LYD581 73107.1 0.1 0.09 24 — — — — — — LYD581 73107.5 — — — 1.1 0.21 22 — — — LYD581 73109.2 0.1 0.02 37 1.4 L 46 — — — LYD581 73109.3 0.1 L 56 1.2 0.04 31 — — — LYD581 73110.1 0.1 L 52 1.6 L 67 — — — LYD566 73480.4 0.1 L 52 1.1 0.21 18 — — — LYD566 73482.4 0.1 L 59 1.3 0.02 39 0.8 0.08 16 LYD566 73483.6 — — — 1.1 0.19 19 — — — LYD554 72171.1 0.1 L 54 1.5 L 56 0.8 0.28 11 LYD554 72174.4 0.1 0.17 28 1.4 0.01 52 — — — LYD550 74186.3 0.1 0.08 34 — — — — — — LYD550 74187.1 0.1 0.02 34 — — — — — — LYD550 74187.2 0.1 0.03 42 1.3 0.03 41 0.8 0.15 14 LYD548 72655.3 0.1 0.17 20 1.3 0.02 35 — — — LYD548 72656.2 — — — — — — 0.8 0.11 15 LYD548 72673.3 — — — 1.1 0.20 20 0.8 0.06 16 LYD540 74181.2 0.1 L 57 1.6 L 69 0.8 0.11 15 LYD540 74182.2 0.1 L 42 1.3 0.01 37 — — — LYD540 74182.4 0.1 0.10 23 1.3 L 42 — — — LYD540 74182.7 0.1 0.21 23 1.2 0.08 31 — — — LYD535 72850.5 0.1 0.03 33 1.1 0.12 23 — — — LYD535 72851.4 0.1 0.13 24 — — — — — — LYD530 73052.3 0.1 L 69 1.6 L 76 0.8 0.19 11 LYD530 73053.3 0.1 L 74 1.6 L 71 0.8 0.08 16 LYD530 73053.4 — — — 1.2 0.08 32 0.8 0.25 11 LYD530 73053.5 0.1 0.02 42 1.5 L 64 0.8 0.16 12 LYD530 73054.3 — — — 1.1 0.22 18 — — — CONT. — 0.0 — — 0.9 — — 0.7 — — LYD677 72223.1 — — — — — — 0.8 0.26 7 LYD677 72223.6 0.1 0.04 34 1.7 0.14 23 — — — LYD637 73684.1 — — — — — — 0.8 0.26 8 LYD637 73685.1 0.1 0.05 40 1.7 0.18 24 — — — LYD637 73685.2 0.1 0.06 31 — — — 0.8 0.26 7 LYD637 73685.3 0.1 0.02 47 1.7 0.22 21 — — — LYD625 72756.1 0.1 0.16 25 — — — — — — LYD605 73641.1 0.1 0.24 20 — — — 0.9 0.03 14 LYD605 73642.3 0.1 0.16 28 — — — — — — LYD605 73644.2 0.1 0.06 32 — — — — — — LYD605 73645.2 0.1 L 65 1.8 0.08 29 0.8 0.27 8 LYD585 72986.1 0.1 0.04 37 1.7 0.11 25 — — — LYD585 72986.4 0.1 0.02 45 1.7 0.20 20 0.8 0.29 8 LYD585 72988.3 0.1 0.06 38 — — — — — — LYD573 72974.2 0.1 0.29 18 1.7 0.15 22 — — — LYD573 72977.1 0.1 0.24 21 — — — — — — LYD573 72978.2 0.1 0.08 35 — — — — — — LYD566 73481.2 0.1 0.20 22 — — — — — — LYD559 73627.2 0.1 0.03 39 — — — 0.9 0.03 16 LYD537 73628.1 0.1 0.26 21 — — — — — — LYD537 73633.1 0.1 0.12 28 — — — — — — LYD537 73633.4 0.1 0.06 39 1.9 0.06 33 — — — LYD537 73633.5 0.1 0.08 29 — — — — — — CONT. — 0.1 — — 1.4 — — 0.7 — — LYD683 72866.4 — — — — — — 0.8 0.07 15 LYD683 72867.4 — — — — — — 0.8 0.20 11 LYD683 72868.1 0.1 0.27 18 — — — — — — LYD647 72784.3 — — — — — — 0.8 0.25 9 LYD647 72785.3 0.1 0.03 37 1.6 0.17 21 — — — LYD647 72786.1 — — — — — — 0.8 0.12 12 LYD611 71991.5 — — — — — — 0.8 0.22 9 LYD611 71992.2 — — — — — — 0.8 0.19 11 LYD611 71992.5 0.1 L 66 1.6 0.14 23 0.8 0.11 12 LYD611 71992.6 0.1 0.02 36 — — — 0.8 0.27 9 LYD585 72986.4 0.1 0.26 17 — — — — — — LYD585 72987.2 0.1 0.26 20 — — — — — — LYD585 72988.1 0.1 0.02 33 1.7 0.02 34 — — — LYD573 72973.2 0.1 0.04 33 1.6 0.17 21 0.8 0.07 14 LYD573 72974.2 — — — — — — 0.8 0.11 13 LYD573 72978.1 0.1 0.22 19 — — — 0.8 0.06 15 LYD550 74188.2 0.1 0.07 28 — — — — — — CONT. — 0.1 — — 1.3 — — 0.7 — — LYD686 72796.2 0.1 0.29 17 — — — — — — LYD673 72662.2 0.1 0.08 29 1.3 0.16 25 — — — LYD673 72663.3 0.1 0.27 20 — — — — — — LYD663 72853.5 0.1 0.28 22 — — — — — — LYD663 72858.1 0.1 0.15 32 — — — — — — LYD655 72209.1 0.1 0.03 46 1.3 0.17 24 0.8 0.15 10 LYD655 72210.1 0.1 0.05 47 1.4 0.04 38 — — — LYD640 72557.2 0.1 0.02 40 1.4 0.04 41 — — — LYD640 72558.3 0.1 0.14 25 1.2 0.24 21 — — — LYD638 72432.2 0.1 0.11 31 — — — — — — LYD638 72451.1 0.1 0.01 45 1.4 0.04 40 — — — LYD615 72260.1 0.1 0.29 20 — — — — — — LYD615 72262.1 0.1 0.03 45 1.5 0.02 47 — — — LYD613 72512.1 — — — — — — 0.8 0.13 12 LYD613 72515.1 0.1 0.02 52 — — — — — — LYD613 72516.1 0.1 0.14 26 — — — — — — LYD608 72887.1 0.1 L 65 1.5 0.01 49 — — — LYD608 72888.2 0.1 0.29 18 1.2 0.29 19 0.8 0.09 14 LYD607 71961.1 0.1 0.15 25 1.3 0.15 26 — — — LYD607 71963.2 0.1 0.05 34 1.2 0.20 23 — — — LYD597 72419.2 0.1 0.07 32 — — — — — — LYD597 72420.1 0.1 L 60 1.4 0.06 34 — — — LYD583 71943.2 0.1 0.29 21 1.3 0.22 25 — — — LYD579 72350.3 0.1 0.02 48 1.4 0.05 36 — — — LYD579 72354.1 0.1 L 72 1.5 0.03 45 — — — LYD563 72319.2 0.1 0.02 42 1.4 0.04 37 — — — LYD563 72324.2 0.1 0.04 56 1.3 0.20 33 — — — CONT. — 0.0 — — 1.0 — — 0.7 — — LYD592 74348.3 0.1 0.13 29 — — — — — — LYD592 74350.1 0.1 0.04 42 1.6 0.17 25 — — — LYD592 74351.1 0.1 0.08 29 1.6 0.13 25 — — — LYD592 74353.3 0.1 L 66 2.0 L 51 — — — CONT. — 0.1 — — 1.3 — — — — — LYD676 73881.2 0.1 0.06 27 1.3 0.05 33 0.8 0.27 10 LYD591 73905.1 — — — 1.3 0.02 30 0.8 0.03 13 CONT. — 0.0 — — 1.0 — — 0.7 — — LYD665 72211.2 0.1 L 78 1.3 0.02 38 0.9 0.15 10 LYD665 72216.4 0.0 0.03 39 1.1 0.28 19 — — — LYD665 72216.5 0.1 0.02 43 1.1 0.25 23 — — — LYD665 72216.6 0.0 0.08 31 1.1 0.24 20 0.9 0.23 9 LYD592 74348.3 0.1 L 79 1.4 L 47 0.9 0.21 8 LYD592 74348.4 0.1 L 95 1.8 L 96 0.9 0.16 10 LYD592 74349.2 0.1 L 59 1.1 0.26 20 — — — LYD592 74350.1 0.1 L 116 1.7 L 86 — — — LYD592 74351.1 0.1 L 103 1.6 L 72 — — — LYD532 74343.2 0.1 L 51 1.2 0.11 26 — — — LYD532 74345.1 0.0 0.04 28 1.1 0.21 20 — — — LYD532 74345.3 0.1 L 84 1.4 L 51 — — — LYD525 74229.2 0.1 L 53 — — — — — — LYD525 74230.2 0.1 L 90 1.5 0.03 58 — — — CONT. — 0.0 — — 0.9 — — 0.8 — — LYD679 72652.3 0.1 L 32 1.6 L 37 — — — LYD670 73347.4 0.1 0.21 14 — — — — — — LYD670 73348.1 0.1 0.20 11 — — — — — — LYD646 73040.3 0.1 0.04 31 1.3 0.26 14 — — — LYD646 73040.4 0.1 L 29 1.5 L 33 0.8 0.18 10 LYD646 73042.3 0.1 0.22 14 — — — — — — LYD624 73181.3 0.1 0.21 10 — — — — — — LYD624 73382.4 0.1 0.22 17 — — — — — — LYD609 73124.2 0.1 L 55 1.5 0.06 26 — — — LYD609 73128.5 0.1 0.22 13 — — — — — — LYD604 73045.4 0.1 0.05 20 — — — — — — LYD604 73047.3 0.1 L 29 1.3 0.28 12 — — — LYD581 73107.1 0.1 L 31 1.6 L 38 — — — LYD581 73107.5 0.1 0.13 17 — — — — — — LYD558 73112.3 0.1 0.13 18 — — — — — — LYD558 73114.3 0.1 L 52 1.4 0.14 23 — — — LYD552 72981.3 0.1 L 38 1.4 0.14 17 — — — LYD552 72981.4 0.1 L 31 1.4 0.06 22 — — — LYD552 72983.1 0.1 0.05 26 — — — — — — LYD530 73052.3 0.1 0.02 27 — — — — — — LYD529 72897.1 — — — — — — 0.8 0.15 9 LYD529 72899.7 0.1 L 30 1.4 0.08 20 — — — LYD529 72900.2 — — — — — — 0.8 0.28 7 CONT. — 0.0 — — 1.2 — — 0.7 — — Table 66. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L- p < 0.01. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4111). “—” = results are still unavailable.

Results from T1 Plants

The genes presented in Tables 67-69 showed a significant improvement in plant biomass and root development since they produced a higher biomass (dry and fresh weight, Table 67), a larger leaf and root biomass (leaf area, root length and root coverage) (Table 68), and a higher relative growth rate of leaf area, root coverage and root length (Table 69) when grown under normal growth conditions, as compared to control plants grown under identical growth conditions. Plants producing larger root biomass have better possibilities to absorb larger amount of nitrogen from soil. Plants producing larger leaf biomass has better ability to produce assimilates). The genes were cloned under the regulation of a constitutive promoter (At6669; SEQ ID NO:4111). The evaluation of each gene was performed by testing the performance of different number of events. Some of the genes were evaluated in more than one tissue culture assay. This second experiment confirmed the significant increment in leaf and root performance. Event with p-value <0.1 was considered statistically significant.

Tables 67-69 summarize the observed phenotypes of transgenic plants expressing the gene constructs using the TC-T1 Assays.

TABLE 67 Genes showing improved plant performance at Normal growth conditions under regulation of A6669 promoter Dry Weight [mg] Fresh Weight [mg] Gene Name Ave. P-Val. % Incr. Ave. P-Val. % Incr. LYD690 4.6 0.01 26 108.9 L 26 LYD550 4.8 L 30 121.0 L 40 LYD525 4.6 0.09 24 108.4 0.17 26 CONT. 3.7 — — 86.3 — — LYD592 4.9 0.02 37 99.6 L 42 CONT. 3.6 — — 70.2 — — LYD633 10.6 L 25 200.2 0.06 25 LYD619 10.8 0.03 28 194.8 0.03 21 LYD587 9.8 0.04 17 — — — LYD565 10.2 0.19 21 — — — CONT. 8.4 — — 160.5 — — LYD659 8.8 0.07 11 160.8 0.12 12 CONT. 8.0 — — 143.9 — — LYD659 5.9 L 64 136.1 0.02 64 LYD578 4.3 0.27 20 96.3 0.18 16 LYD532 4.6 0.15 29 101.3 0.12 22 CONT. 3.6 — — 82.8 — — LYD532 6.6 0.08 48 205.1 0.06 80 CONT. 4.4 — — 114.2 — — LYD539_H11 7.8 0.20 25 — — — CONT. 6.2 — — — — — LYD575 6.5 0.19 29 159.5 0.22 27 CONT. 5.0 — — 125.1 — — Table 67. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L- p < 0.01. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4111). “—” = results are still unavailable.

TABLE 68 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Roots Coverage Roots Length Leaf Area [cm²] [cm²] [cm] % % % Gene Name Ave. P-Val. Incr. Ave. P-Val. Incr. Ave. P-Val. Incr. LYD690 0.4 L 30 3.8 0.04 26 — — — LYD550 0.4 L 31 — — — — — — LYD525 0.4 0.15 21 — — — — — — CONT. 0.3 — — 3.0 — — — — — LYD592 0.5 0.05 41 4.2 0.17 26 — — — LYD575 0.4 0.05 12 — — — — — — LYD539_H11 0.4 0.18 21 4.5 0.23 34 4.9 0.26 12 CONT. 0.3 — — 3.4 — — 4.4 — — LYD633 0.8 0.14 26 — — — 7.2 0.14 20 LYD619 0.7 0.01 21 — — — 6.7 0.14 12 LYD587 0.7 0.05 16 7.6 0.24 17 7.1 0.08 19 LYD565 0.7 0.23 18 — — — — — — CONT. 0.6 — — 6.5 — — 6.0 — — LYD659 0.8 0.17 11 — — — — — — CONT. 0.7 — — — — — — — — LYD659 0.5 L 34 4.5 0.12 37 — — — LYD578 0.5 0.21 16 4.6 0.24 40 — — — LYD532 0.4 0.28 11 — — — — — — CONT. 0.4 — — 3.3 — — — — — LYD576 0.5 0.12 22 — — — 6.7 0.09 11 LYD532 0.7 0.04 54 7.4 0.13 43 7.2 0.04 19 CONT. 0.4 — — 5.2 — — 6.0 — — LYD539_H11 0.6 0.25 19 — — — — — — CONT. 0.5 — — — — — — — — LYD575 0.7 0.26 26 10.3  0.26 20 — — — CONT. 0.5 — — 8.6 — — — — — Table 68. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L- p < 0.01. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4111). “—” = results are still unavailable.

TABLE 69 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter RGR Of Leaf Area RGR Of Roots RGR Of Root Length (cm²/day) Coverage (cm²/day) (cm/day) % % % Gene Name Ave. P-Val. Incr. Ave. P-Val. Incr. P-Ave. Val. Incr. LYD690 0.0 0.02 25 0.5 L 28 — — — LYD550 0.0 L 28 — — — — — — LYD525 0.0 0.14 18 — — — — — — CONT. 0.0 — — 0.4 — — — — — LYD592 0.0 L 46 0.5 0.07 26 — — — LYD539_H11 0.0 0.05 26 0.5 0.07 34 0.5 0.27 11 CONT. 0.0 — — 0.4 — — 0.5 — — LYD633 0.1 0.13 26 — — — 0.8 0.15 22 LYD619 0.1 0.05 24 — — — 0.8 0.15 15 LYD587 0.1 0.15 18 0.9 0.28 18 0.8 0.07 20 LYD565 0.1 0.11 24 — — — — — — CONT. 0.1 — — 0.8 — — 0.7 — — LYD659 0.1 L 39 0.6 0.02 41 — — — LYD578 0.0 0.13 18 0.6 0.04 41 — — — LYD532 0.0 0.20 14 — — — — — — CONT. 0.0 — — 0.4 — — — — — LYD576 0.1 0.14 21 — — — 0.7 0.09 16 LYD532 0.1 L 56 0.9 0.03 45 0.8 0.02 25 CONT. 0.0 — — 0.6 — — 0.6 — — LYD575 0.1 0.23 22 — — — — — — LYD539_H11 0.1 0.20 21 — — — — — — CONT. 0.1 — — — — — — — — LYD575 0.1 0.08 31 1.3 0.21 20 — — — CONT. 0.1 — — 1.1 — — — — — Table 69. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L- p < 0.01. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 4111). “—” = results are still unavailable.

These results demonstrate that the polynucleotides of the invention are capable of improving yield and additional valuable important agricultural traits such as increase of biomass, abiotic stress tolerance, nitrogen use efficiency, yield, vigor, fiber yield and/or quality. Thus, transformed plants showing improved fresh and dry weight demonstrate the gene capacity to improve biomass a key trait of crops for forage and plant productivity; transformed plants showing improvement of seed yield demonstrate the genes capacity to improve plant productivity; transformed plants showing improvement of plot coverage and rosette diameter demonstrate the genes capacity to improve plant drought resistance as they reduce the loss of soil water by simple evaporation and reduce the competition with weeds; hence reduce the need to use herbicides to control weeds. Transformed plants showing improvement of relative growth rate of various organs (leaf and root) demonstrate the gene capacity to promote plant growth and hence shortening the needed growth period and/or alternatively improving the utilization of available nutrients and water leading to increase of land productivity; Transformed plants showing improvement of organ number as demonstrated by the leaf number parameter exhibit a potential to improve biomass yield important for forage crops and improve the plant productivity; Transformed plants showing increased root length and coverage demonstrate the gene capacity to improve drought resistance and better utilization of fertilizers as the roots can reach larger soil volume; Transformed plants showing improvement of leaf petiole relative area and leaf blade area demonstrate the genes capacity to cope with limited light intensities results from increasing the plant population densities and hence improve land productivity.

Although the invention has been described in conjunction with specific embodiments thereof, it is evident that many alternatives, modifications and variations will be apparent to those skilled in the art. Accordingly, it is intended to embrace all such alternatives, modifications and variations that fall within the spirit and broad scope of the appended claims.

All publications, patents and patent applications mentioned in this specification are herein incorporated in their entirety by reference into the specification, to the same extent as if each individual publication, patent or patent application was specifically and individually indicated to be incorporated herein by reference. In addition, citation or identification of any reference in this application shall not be construed as an admission that such reference is available as prior art to the present invention. To the extent that section headings are used, they should not be construed as necessarily limiting. 

What is claimed is:
 1. A method of increasing growth rate, biomass, seed yield, reducing time to flowering, and/or time to inflorescence emergence of a plant under non-stress conditions as compared to a control plant of the same species under the same growth conditions, comprising expressing an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide comprising an amino acid sequence having at least 95% sequence identity to SEQ ID NO: 468, wherein said control plant does not comprise said exogenous polynucleotide, thereby increasing the growth rate, biomass, seed yield, reducing the time to flowering, and/or the time to inflorescence emergence of the plant under non-stress conditions.
 2. The method of claim 1, wherein said amino acid sequence is SEQ ID NO:
 468. 3. The method of claim 1, wherein said polypeptide is expressed from a polynucleotide comprising a nucleic acid sequence selected from the group consisting of SEQ ID NOs: 305 and
 107. 4. A method of producing a crop comprising growing a crop of a plant expressing an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide exhibiting at least 95% sequence identity to the amino acid sequence of SEQ ID NO: 468, wherein said plant is a plant selected for increased growth rate, increased biomass, increased seed yield, reduced time to flowering, and/or reduced time to inflorescence emergence under non-stress conditions as compared to a control plant of the same species under the same growth conditions, thereby producing the crop.
 5. The method of claim 4, wherein said amino acid sequence is SEQ ID NO:
 468. 6. The method of claim 4, wherein said nucleic acid sequence encoding said polypeptide comprises a nucleic acid sequence of SEQ ID NO: 305 or
 107. 7. A nucleic acid construct comprising an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises an amino acid sequence exhibiting at least 95% sequence identity to the amino acid sequence of SEQ ID NO: 468, and a promoter for directing transcription of said nucleic acid sequence in a host cell, wherein said amino acid sequence increases growth rate, biomass, seed yield, reduces time to flowering, and/or time to inflorescence of a plant under non-stress conditions as compared to a control plant of the same species under the same growth conditions, wherein said control plant does not comprise said nucleic acid construct, and wherein said promoter is heterologous to the isolated polynucleotide.
 8. The nucleic acid construct of claim 7, wherein said polypeptide is SEQ ID NO:
 468. 9. The nucleic acid construct of claim 7, wherein said nucleic acid sequence is selected from the group consisting of SEQ ID NOs: 305 and
 107. 10. A plant cell transformed with the nucleic acid construct of claim
 7. 11. The plant cell of claim 10, wherein said plant cell forms part of a plant.
 12. A plant transformed with the nucleic acid construct of claim
 7. 13. A plant cell transformed with the nucleic acid construct of claim
 8. 14. The plant cell of claim 13, wherein said plant cell forms part of a plant.
 15. A plant transformed with the nucleic acid construct of claim
 8. 16. The method of claim 1, further comprising selecting the plant expressing said exogenous polynucleotide for an increased seed yield, biomass, and/or growth rate under non-stress conditions as compared to a control plant of the same species under the same growth conditions.
 17. The method of claim 1, further comprising selecting the plant expressing said exogenous polynucleotide for a reduced time to flowering and/or time to inflorescence emergence under non-stress conditions as compared to a control plant of the same species under the same growth conditions.
 18. The method of claim 1, further comprising selecting the plant expressing said exogenous polynucleotide for an increased seed yield under non-stress conditions as compared to a control plant of the same species under the same growth conditions.
 19. The method of claim 1, further comprising selecting the plant expressing said exogenous polynucleotide for an increased growth rate under non-stress conditions as compared to a control plant of the same species under the same growth conditions.
 20. The method of claim 1, further comprising selecting the plant expressing said exogenous polynucleotide for an increased biomass under non-stress conditions as compared to a control plant of the same species under the same growth conditions.
 21. The method of claim 1, further comprising selecting the plant expressing said exogenous polynucleotide for a reduced time to flowering under non-stress conditions as compared to a control plant of the same species under the same growth conditions.
 22. The method of claim 1, further comprising selecting the plant expressing said exogenous polynucleotide for a reduced time to inflorescence emergence under non-stress conditions as compared to a control plant of the same species under the same growth conditions.
 23. The method of claim 4, wherein said plant is a plant selected for increased growth rate under non-stress conditions as compared to a control plant of the same species under the same growth conditions.
 24. The method of claim 4, wherein said plant is a plant selected for increased biomass under non-stress conditions as compared to a control plant of the same species under the same growth conditions.
 25. The method of claim 4, wherein said plant is a plant selected for increased seed yield under non-stress conditions as compared to a control plant of the same species under the same growth conditions.
 26. The method of claim 4, wherein said plant is a plant selected for a reduced time to flowering under non-stress conditions as compared to a control plant of the same species under the same growth conditions.
 27. The method of claim 4, wherein said plant is a plant selected for a reduced time to inflorescence emergence under non-stress conditions as compared to a control plant of the same species under the same growth conditions. 